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Article 1: Classification of Radical Web Content in Indonesia using Web Content Mining and k-Nearest Neighbor Algorithm

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1. COMPARISON OF ACTIVATION FUNCTIONS IN FEATURE EXTRACTION LAYER USING SHARPENING FILTERS, Rachmawati, O.C.R., Barakbah, A.R., Karlita, T., 2025, cited in Journal of Applied Engineering and Technological Science, 6(2), pp. 1254–1267

2. Programming Language Selection for the Development of Deep Learning Library, Rachmawati, O.C.R., Barakbah, A., Karlita, T., 2024, cited in International Journal on Informatics Visualization, 8(1), pp. 434–441

3. Sentiment Analysis of Covid-19 on Indonesian Twitter by Implementing the Naïve Bayes Method, Suharsono, T.N., Fauzan, A., Mardiati, R., 2022, cited in Proceeding of 2022 8th International Conference on Wireless and Telematics Icwt 2022

4. Analysis of Public Sentiment Using The K-Nearest Neighbor (k-NN) Algorithm and Lexicon Based on Indonesian Television Shows on Social Media Twitter, Hulliyah, K., Almaisah, A.M., Mintarsih, F., ... Khairani, D., Aripiyanto, S., 2022, cited in 2022 10th International Conference on Cyber and IT Service Management Citsm 2022

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Article 2: Classification of Ischemic Stroke with Convolutional Neural Network (CNN) approach on b-1000 Diffusion-Weighted (DW) MRI

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1. Enhancing Remote Sensing Image Quality through Data Fusion and Synthetic Aperture Radar (SAR): A Comparative Analysis of CNN, Lightweight ConvNet, and VGG16 Models, Anggreyni, D.P., Indriatmoko, Arymurthy, A.M., Setiyoko, A., 2024, cited in Jurnal Online Informatika, 9(2), pp. 210–218

2. Neuroimaging and Deep Learning in Stroke Diagnosis: A Review of a Decade of Research, Mathew, P.S., Pillai, A.S., Abraham, A., Biase, L.D., 2024, cited in Machine Learning and Deep Learning in Neuroimaging Data Analysis, pp. 1–24

3. Early Ischemic Stroke Detection Using Deep Learning: A Systematic Literature Review, Tan, K., Marvell, Y.A., Agung Santoso Gunawan, A., 2023, cited in 2023 International Seminar on Application for Technology of Information and Communication Smart Technology Based on Industry 4 0 A New Way of Recovery from Global Pandemic and Global Economic Crisis Isemantic 2023, pp. 7–11

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Article 3: An Implementation of blood Glucose and cholesterol monitoring device using non-invasive technique

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1. Non-Invasive Glucose Monitor and Smart Infusion in Intravenous, Vithiya, R., Martin, L., Begum, M.Z., Tremot, S.S., 2025, cited in 2025 International Conference on Emerging Technologies in Engineering Applications Icetea 2025 Proceedings

2. Dia-Tracker: A Multimodal Diabetes Assistance Device, Khan, S., Mostofa, M.B., Joye, A., ... Rahman, J.F., Roy, A.D., 2025, cited in 2025 IEEE International Conference on Quantum Photonics Artificial Intelligence and Networking Qpain 2025

3. Near-Infrared based Non-Invasive Glucose Monitoring System, Nandhini, M., Kiruppa sudhan, A., Jayaprakash, S.P., Sharmila, B., Dhiviyalakshmi, L., 2024, cited in 2024 5th International Conference on Smart Sensors and Application Shaping the Future of Intelligent Innovation Icssa 2024

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Article 4: Implementation of blood Glucose and cholesterol monitoring device using non-invasive technique

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1. Dia-Tracker: A Multimodal Diabetes Assistance Device, Khan, S., Mostofa, M.B., Joye, A., ... Rahman, J.F., Roy, A.D., 2025, cited in 2025 IEEE International Conference on Quantum Photonics Artificial Intelligence and Networking Qpain 2025

2. Non-Invasive Glucose Monitor and Smart Infusion in Intravenous, Vithiya, R., Martin, L., Begum, M.Z., Tremot, S.S., 2025, cited in 2025 International Conference on Emerging Technologies in Engineering Applications Icetea 2025 Proceedings

3. Near-Infrared based Non-Invasive Glucose Monitoring System, Nandhini, M., Kiruppa sudhan, A., Jayaprakash, S.P., Sharmila, B., Dhiviyalakshmi, L., 2024, cited in 2024 5th International Conference on Smart Sensors and Application Shaping the Future of Intelligent Innovation Icssa 2024

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Article 5: Development of a mobile application for plant disease detection using parameter optimization method in convolutional neural networks algorithm

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1. Handling qualities assessing of SVO-based eVTOL aircraft through EMG and eye data | 基于肌电和眼动信号的简化操纵 eVTOL 操纵品质评估, Li, Y., Zhang, S., Wu, Y., 2025, cited in Hangkong Xuebao Acta Aeronautica Et Astronautica Sinica, 46(11), 531315

2. Potato Leaf Disease Classification using Pre Trained Deep Learning Techniques -A Comparative Analysis, Sangar, G., Rajasekar, V., 2024, cited in 2024 5th International Conference for Emerging Technology Incet 2024

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Article 6: Analytical analysis of flexible microfluidic based pressure sensor based on triple-channel design

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1. A flexible paper based strain sensors drawn by pencil for low-cost pressure sensing applications, Nawi, M.N.M., Lau, J.T.H., 2024, cited in Bulletin of Electrical Engineering and Informatics, 13(4), pp. 2381–2387

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Article 7: Performance Analysis of MIMO-OFDM System Using Predistortion Neural Network with Convolutional Coding Addition to Reduce SDR-Based HPA Nonlinearity

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1. Evaluation of Joint Technique Iterative Clipping Filtering (ICF) and Neural Network Predistortion on SDR-based MIMO-OFDM System, Gulo, M.M., Astawa, I.G.P., Sudarsono, A., ... Priambodo, N.A., Gunawan, M.W., 2024, cited in International Journal on Informatics Visualization, 8(2), pp. 724–734

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Article 8: Comparative Evaluation of VAEs, VAE-GANs, and AAEs for Anomaly Detection in Network Intrusion Data

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1. Generative AI for Healthcare Security: Addressing Privacy Challenges through Anomaly Detection in Healthcare Communications, Natarajan, A.K., Upreti, K., Kshirsagar, P.R., Tak, T.K., 2025, cited in Advances in Artificial Intelligence for Healthcare Applications, pp. 60–71

2. Research on Fault Detection Methods of High-speed Railway Passenger Transportation Management System Using Autoencoder and Variational Autoencoder, Zhang, R., Sun, P., Qiu, X., Zhao, B., 2024, cited in 2024 9th International Conference on Information Science Computer Technology and Transportation Isctt 2024, pp. 594–602

3. Generative AI-Driven Distributed Cybersecurity Frameworks for AI-Integrated Global Big Data Systems, Vadisetty, R., Polamarasetti, A., 2024, cited in Proceedings of International Conference on Emerging Technologies and Innovation for Sustainability Emergin 2024, pp. 595–600

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Article 9: Modified deep pattern classifier on Indonesian traditional dance spatio-temporal data

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1. Research on digital inheritance system and action semantic analysis of Hunan flower-drum opera based on deep learning, Liao, Y.-F., 2025, cited in Edelweiss Applied Science and Technology, 9(4), pp. 295–311

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Article 10: Human-machine Translation Model Evaluation Based on Artificial Intelligence Translation

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1. Transforming Translation Education: A Bibliometric Analysis of Artificial Intelligence’s Role in Fostering Sustainable Development, Bo, Z., Pek, L.S., Cong, W., ... Ne’matullah, K.F., Arar, H., 2025, cited in International Journal of Learning Teaching and Educational Research, 24(3), pp. 166–190

2. Leveraging ChatGPT for Enhancing Arabic NLP: Application for Semantic Role Labeling and Cross-Lingual Annotation Projection, Senator, F., Lakhfif, A., Zenbout, I., Boutouta, H., Mediani, C., 2025, cited in IEEE Access, 13, pp. 3707–3725

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Article 11: Technical analysis based automatic trading prediction system for stock exchange using support vector machine

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1. ESMPS: an efficient stock market prediction system based on optimized and ensemble deep learning architecture, Singh, S., Khanna, D., Bhatia, B.S., 2025, cited in Neural Computing and Applications, 37(26), pp. 22057–22082

2. Machine learning in investment strategies Stock price prediction through support vector machines, Burchi, A., Novellis, G.D., 2025, cited in Innovation in Banking and Financial Intermediaries the Disruptive Role of Esg Policies and Fintech Players, pp. 254–283

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Article 12: Rapid control prototyping of five-level mmc based induction motor drive with different switching frequencies

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1. Voltage and Current Ripple Analysis in a 15-Level MMC-Connected Induction Motor Drive, Usha, S., Geetha, A., Palanisamy, R., ... Shukla, S., Kalyan, C.N.S., 2025, cited in 2025 International Conference in Advances in Power Signal and Information Technology Apsit 2025

2. Power Management and Control for PV integrated Microgrid with Battery Energy Storage System, Prasad, M.B.S., Chennaiah, P.B., 2024, cited in 5th International Conference on Electronics and Sustainable Communication Systems Icesc 2024 Proceedings

3. Modeling and Simulation of BLDC Motor for Electric Tractor Application, Yenegur, A., Sasikala, M., 2023, cited in 2023 International Conference on Network Multimedia and Information Technology Nmitcon 2023

4. Control Strategies and Converter Configurationsin EV application, Yalasatti, A., Patil, V., Aspalli, M., Patil, J., Chippalkatti, S., 2023, cited in International Conference on Integrated Intelligence and Communication Systems Iciics 2023

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Article 13: Automating test case generation for android applications using model-based testing

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1. Generating automated test case from sequence diagram using Pre-order Traversal, Yonathan, A., Alibasa, M.J., Riskiana, R.R., 2024, cited in Procedia Computer Science, 234, pp. 1730–1737

2. Crowdsourced test case generation for android applications via static program analysis, Li, Y., Feng, Y., Guo, C., Chen, Z., Xu, B., 2023, cited in Automated Software Engineering, 30(2), 26

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Article 14: Hardware Trojan detection and mitigation in NoC using key authentication and obfuscation techniques

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1. Secure interface architecture for the software defined system on wafer | 面向软件定义晶上系统的安全互连接口架构, Li, P., Shen, J., Guo, W., Cao, Z., Mei, B., 2024, cited in Tongxin Xuebao Journal on Communications, 45(10), pp. 41–54

2. A Comprehensive Framework for Systemic Security Management in NoC-Based Many-Cores, Faccenda, R.F., Comarú, G., Caimi, L.L., Moraes, F.G., 2023, cited in IEEE Access, 11, pp. 131836–131847

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Article 15: Text mining for employee candidates automatic profiling based on application documents

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1. Adaptive Questionnaire Design Using AI Agents for People Profiling, Paduraru, C., Cristea, R., Stefanescu, A., 2024, cited in International Conference on Agents and Artificial Intelligence, 3, pp. 633–640

2. Method to Profiling the Characteristics of Indonesian Dangdut Songs, Using K-Means Clustering and Features Fusion, Mahardhika, F., Warnars, H.L.H.S., Nugroho, A.S., Budiharto, W., 2023, cited in International Journal of Computing and Digital Systems, 14(1), pp. 997–1012

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Article 16: Web Application Security Education Platform Based on OWASP API Security Project

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1. Enhancing Laravel Filament Security Through Owasp-Based Secure Code Practices, Rijanandi, T., Wahyu Cahyani, N.D., Coastera, F.F., 2024, cited in 2024 International Conference on Intelligent Cybernetics Technology and Applications Icicyta 2024, pp. 154–160

2. Navigating the Threat Landscape of IoT: An Analysis of Attacks, Singh, S., Sharma, M., Hossain, S.A., 2024, cited in Lecture Notes in Networks and Systems, 1038 LNNS, pp. 25–48

3. Comprehensive Analysis and Remediation of Insecure Direct Object References (IDOR) Vulnerabilities in Android APIs, Yulianto, S., Abdullah, R.R., Soewito, B., 2023, cited in Proceedings 2023 IEEE International Conference on Cryptography Informatics and Cybersecurity Cryptography and Cybersecurity Roles Prospects and Challenges Icocics 2023, pp. 23–28

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Article 17: Towards Improvement of LSTM and SVM Approach for Multiclass Fall Detection System

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1. Model-Based SVM Parameter Selection Approach for Multi-View Fall Detection, Ben Ahmed, S., Elaoud, A., Ben Hafaiedh, I., Attia, R., 2024, cited in Proceedings of IEEE ACS International Conference on Computer Systems and Applications Aiccsa

2. Fall detection from audios with Audio Transformers, Kaur, P., Wang, Q., Shi, W., 2022, cited in Smart Health, 26, 100340

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Article 18: Develop a user behavior analysis tool in ethol learning management system[J]

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1. Student Behavior Analysis System in Smart Campus Based on Data Mining Algorithm, Han, W., Mansour, K., 2023, cited in Lecture Notes on Data Engineering and Communications Technologies, 169, pp. 368–375

2. Student Behavior Analysis System Based on Kmeans Algorithm Under the Background of Smart Campus, Lv, Y., 2022, cited in Proceedings 2022 International Conference on Computer Network Electronic and Automation Iccnea 2022, pp. 174–177

3. Student behavior based on information technology and machine learning, Su, Y., 2021, cited in ACM International Conference Proceeding Series, pp. 2619–2623

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Article 19: Addressing communication, coordination and cultural issues in global software development projects

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1. Structural association of requirements engineering challenges in GSD: interpretive structural modelling (ISM) approach, Yaseen, M., Alroobaea, R., Alsufyani, H., 2025, cited in Requirements Engineering, 30(1), pp. 63–79

2. Expert Survey Analysis on the Risk Mitigation for Agile Global Development Framework: A Validation Study, Mohamed, H.N., Podari, Z., Arbain, A.F., Ibrahim, N., 2025, cited in Ifmbe Proceedings, 128 IFMBE, pp. 735–746

3. Practices of critical challenges during requirements implementation in global software development:A systematic literature review, Bacha, M., Shah, I.A., Abrar, M.F., Yaseen, M., 2024, cited in Vfast Transactions on Software Engineering, 12(3), pp. 166–176

4. Empirical exploration of critical challenges of requirements implementation in global software development, Yaseen, M., 2024, cited in Journal of Software Evolution and Process, 36(5), e2604

5. A cost effective communication model for requirements elicitation in global software development, Rauf, M.A., Bibi, S., Ali, S., ... Mahmood, K., Kundi, M., 2023, cited in Scientific Reports, 13(1), 18730

6. Success factors analysis for requirement elicitation in global software development paradigm: An empirical study, Yaseen, M., Ali, S., Mustapha, A., Mazhar, N., 2022, cited in Journal of Software Evolution and Process, 34(7), e2460

7. Integration of Software Architecture in Requirements Elicitation for Rapid Software Development, Gillani, M., Niaz, H.A., Ullah, A., 2022, cited in IEEE Access, 10, pp. 56158–56178

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Article 20: Hospital Length of Stay Prediction based on Patient Examination Using General features

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1. Hospital Length-of-Stay Prediction Using Machine Learning Algorithms—A Literature Review, Almeida, G., Brito Correia, F., Borges, A.R., Bernardino, J., 2024, cited in Applied Sciences Switzerland, 14(22), 10523

2. Prediction of Length of Stay in Hospital Using Hyperparameter Optimization in the Convolutional Neural Networks Method, Swara Iskandar, M.A., Badriyah, T., Syarif, I., 2024, cited in 2024 International Electronics Symposium Shaping the Future Society 5 0 and Beyond Ies 2024 Proceeding, pp. 460–465

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Article 21: Series arc fault breaker in low voltage using microcontroller based on fast Fourier transform

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1. An Integrated Multi-Feature Algorithm for Arc Fault Detection, Cai, J., Huang, Y., Li, S., ... Cao, F., Xu, Z., 2025, cited in Proceedings of the International Conference on Power Electronics and Drive Systems

2. LArcNet: Lightweight Neural Network for Real-Time Series AC Arc Fault Detection, Paul, K.C., Chen, C., Wang, Y., Zhao, T., 2025, cited in IEEE Open Journal of Industry Applications, 6, pp. 79–92

3. Artificial Intelligence for DC Arc Fault Detection in Photovoltaic Systems: A Comprehensive Review, Paul, K.C., Waldmann, D., Chen, C., Wang, Y., Zhao, T., 2025, cited in IEEE Access

4. Enhancing Arc Fault Diagnosis Method Using Feature Selection Strategy Based on Feature Clustering and Maximal Information Coefficient, Du, L., Shen, Y., Xu, Z., Chen, D., 2023, cited in IEEE Transactions on Industry Applications, 60(2), pp. 3006–3017

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Article 22: Indian Sign Language Recognition through Hybrid ConvNet-LSTM Networks

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1. SSTA-ResT: Soft Spatiotemporal Attention ResNet Transformer for Argentine Sign Language Recognition, Liu, X., Zhou, Z., Xia, E., Yin, X., 2025, cited in Sensors, 25(17), 5543

2. Advances in Machine Learning Techniques for Sign Language Interpretation, Jain, P., Pattanshetti, N., Hundekar, E., Turuk, M., Hosamani, S., 2025, cited in Lecture Notes in Networks and Systems, 1382 LNNS, pp. 375–387

3. An integrative survey on Indian sign language recognition and translation, Damdoo, R., Kumar, P., 2025, cited in Iet Image Processing, 19(1), e70000

4. Word recognition from Indian Sign Language using Transfer Learning Models and RNN Classifier, Bansal, N., Jain, A., 2024, cited in International Journal of Intelligent Systems and Applications in Engineering, 12(9s), pp. 182–189

5. A Comprehensive Benchmark and Evaluation of Thai Finger Spelling in Multi-Modal Deep Learning Models, Vijitkunsawat, W., Racharak, T., 2024, cited in IEEE Access, 12, pp. 158079–158093

6. Exploring Sign Language Detection on Smartphones: A Systematic Review of Machine and Deep Learning Approaches, Alam, I., Hameed, A., Ziar, R.A., 2024, cited in Advances in Human Computer Interaction, 2024, 1487500

7. Application of Wearable Gloves for Assisted Learning of Sign Language Using Artificial Neural Networks, Kim, H.-J., Baek, S.-W., 2023, cited in Processes, 11(4), 1065

8. Indian Sign Language Generation - A multi-modal approach, Chaudhari, P., Bedekar, M., 2023, cited in 2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023

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Article 23: Revisiting routing protocols to design energy-aware wireless body area network

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1. Empowering WBANs: Enhanced Energy Efficiency Through Cluster-Based Routing and Swarm Optimization, Sureshkumar, S., Santhosh Babu, A.V., Joseph James, S., Priya, R., 2025, cited in Symmetry, 17(1), 80

2. Adaptive Relay-Assisted WBAN Protocol: Enhancing Energy Efficiency and QoS through Advanced Multi-Criteria Decision-Making, Singh, S., Bilandi, N., 2025, cited in CMES Computer Modeling in Engineering and Sciences, 144(1), pp. 489–509

3. Design and optimization of natural routing system based on mobile internet of things, Di, C., 2024, cited in Proceedings of SPIE the International Society for Optical Engineering, 13228, 132280I

4. Hierarchical energy efficient secure routing protocol for optimal route selection in wireless body area networks, Roshini, A., Kiran, K.V.D., 2023, cited in International Journal of Intelligent Networks, 4, pp. 19–28

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Article 24: Virtual Reality Technology and Speech Analysis for People Who Stutter EMITTER

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1. A Virtual Reality Based Therapeutic Approach for Stuttering Intervention, Cecil, J., Tetnowski, J.A., Tentu, S.K., 2024, cited in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 14708 LNCS, pp. 191–203

2. The Potential of virtual reality Digital Twins to serve as therapy approaches for stuttering, Kumar, T.S., Cecil, J., Tetnowski, J.A., 2024, cited in Segah 2024 2024 IEEE 12th International Conference on Serious Games and Applications for Health

3. VIRTUAL REALITY AS A THERAPY FOR STUTTERING | VIRTUALNA STVARNOST KAO TERAPIJA MUCANJA, Marušić, P., Krhen, A.L., 2022, cited in Hrvatska Revija Za Rehabilitacijska Istrazivanja, 58(1), pp. 104–118

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Article 25: Mastitis detection system in dairy cow milk based on fuzzy inference system using electrical conductivity and power of hydrogen sensor value

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1. Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis, Shirani Shamsabadi, J., Ansari Mahyari, S., Ghaderi-Zefrehei, M., 2025, cited in Scientific Reports, 15(1), 20456

2. A comprehensive review on genomic insights and advanced technologies for mastitis prevention in dairy animals, Panigrahi, M., Rajawat, D., Nayak, S.S., ... Sharma, A., Dutt, T., 2025, cited in Microbial Pathogenesis, 199, 107233

3. Study of Mastitis Incidence in Cows of Dairy Farms in East Kazakhstan: Impacts of Nutrition, Endometritis and Mycotoxin Contamination, Mukhamadieva, N., Zainettinova, D., Julanov, M., ... Alimbekova, M., Akzhigitov, N., 2023, cited in American Journal of Animal and Veterinary Sciences, 18(4), pp. 292–303

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Article 26: The determination of optimal operating condition for an off-grid hybrid renewable energy based micro-grid: A case study in Izmir, Turkey

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1. Environmental and economic optimization of office building microgrid based on carbon-electricity market and improved Harris Hawks optimization algorithm, Yuqi, Z., Bing, W., Yuquan, C., Zhen, Z., Qiang, H., 2025, cited in Energy, 332, 136818

2. Operation characteristics analysis and optimal dispatch of solar thermal-photovoltaic hybrid microgrid for building, Lou, J., Wang, Y., Wang, H., ... Islam, M.R., Chua, K.J., 2024, cited in Energy and Buildings, 315, 114340

3. The Potential of Renewable Energy Sources in Providing Sustainable Power for Natural Disaster Zones: TOPSIS Method for Gaziantep, Turkey, Jahangiri, M., Abolhasani, M., Noorbakhsh, S.M., 2024, cited in Journal of Solar Energy Research, 9(2), pp. 1887–1901

4. Optimization of a CHP system using a forecasting dispatch and teaching-learning-based optimization algorithm, Toopshekan, A., Abedian, A., Azizi, A., Ahmadi, E., Vaziri Rad, M.A., 2023, cited in Energy, 285, 128671

5. Techno-economic analysis of a renewable-based hybrid energy system for utility and transportation facilities in a remote community of Northern Alberta, Priyanka, T.J., Atre, S., Billal, M.M., Arani, M., 2023, cited in Cleaner Energy Systems, 6, 100073

6. Impact of Multi-Year Analysis on the Optimal Sizing and Control Strategy of Hybrid Energy Systems, Al-Khaykan, A., Al-Kharsan, I.H., Ali, M.O., ... Fakhruldeen, H.F., Counsell, J.M., 2023, cited in Energies, 16(1), 110

7. Techno-economic and environmental evaluation of PV/diesel/battery hybrid energy system using improved dispatch strategy, Aziz, A.S., Tajuddin, M.F.N., Zidane, T.E.K., ... Alrubaie, A.J.K., Alwazzan, M.J., 2022, cited in Energy Reports, 8, pp. 6794–6814

8. Design and Optimization of a Grid-Connected Solar Energy System: Study in Iraq, Aziz, A.S., Tajuddin, M.F.N., Zidane, T.E.K., ... Alwazzan, M.J., Alrubaie, A.J.K., 2022, cited in Sustainability Switzerland, 14(13), 8121

9. A new optimization strategy for wind/diesel/battery hybrid energy system, Aziz, A.S., Tajuddin, M.F.N., Hussain, M.K., ... Ramli, M.A.M., Khalil Zidane, T.E., 2022, cited in Energy, 239, 122458

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Article 27: Scouting Interactive Games for Scouts Based on Embodied Interaction Using Embedded System

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1. Design and Development of an Interactive Scouting Educational Game Using the MDLC Approach, Buchori, A., Cahya, P.Z., Wardani, T.I., Khoiri, N., Osman, S., 2025, cited in Advance Sustainable Science Engineering and Technology, 7(2), 02502023

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Article 28: Selection Method of Modulation Index and Frequency ratio for Getting the SPWM Minimum Harmonic of Single Phase Inverter

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1. Supercapacitor Assisted Multilevel Inverter Topology for Off-Grid Renewable Energy Systems, Naligama, C.A., Kularatna, N., Steyn-Ross, A., Gunawardane, K., 2024, cited in 13th International Conference on Renewable Energy Research and Applications Icrera 2024, pp. 1800–1805

2. Design of One-Phase Inverter Using EGS002 with SPWM, Kaliky, N.S.A., Akbar, S.A., Baswara, A.R.C., 2022, cited in Buletin Ilmiah Sarjana Teknik Elektro, 4(3), pp. 132–141

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Article 29: Comparison of Tree Method, Support Vector Machine, Naïve Bayes, and Logistic Regression on Coffee Bean Image

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1. Research on coffee beans grading based on the improved ShuffleNet VI, Zhao, Y., Jiao, Y., Li, H., ... Li, J., Zhang, Y., 2025, cited in Journal of Chinese Agricultural Mechanization, 46(4), pp. 194–203

2. Identification Of Pineapple Maturity Utilizing Digital Image Using Hybrid Machine Learning Method, Manik, F.Y., Harumy, T.H.F., Akasah, W., ... Simanjuntak, R.F., Sianturi, V.J., 2024, cited in Aip Conference Proceedings, 2987(1), 020050

3. APPLICATION OF DIGITAL IMAGE PROCESSING METHOD FOR ROASTED COFFEE BEAN QUALITY IDENTIFICATION: A SYSTEMATIC LITERATURE REVIEW, Santoso, I., Yuanita, E.A., Karomah, R.S., 2024, cited in African Journal of Food Agriculture Nutrition and Development, 24(1), pp. 25264–25287

4. Benchmarking Multiple Machine Learning Algorithms for Sentiment Analysis on Sexual Violence, Nurdiyanti, R., Utami, E., 2024, cited in 2024 6th International Conference on Cybernetics and Intelligent System Icoris 2024

5. Enhancing Prediction Accuracy in an Imbalanced Dataset of Dengue Infection Cases Using a Two-layer Ensemble Outlier Detection and Feature Selection Technique, Fahmi, A., Purwitasari, D., Sumpeno, S., Purnomo, M.H., 2024, cited in International Journal of Intelligent Engineering and Systems, 17(2), pp. 544–560

6. A novel deep learning architecture for disease classification in Arabica coffee plants, Ramamurthy, K., Thekkath, R.D., Batra, S., Chattopadhyay, S., 2023, cited in Concurrency and Computation Practice and Experience, 35(8), e7625

7. Application of Pre-Trained Deep Convolutional Neural Networks for Coffee Beans Species Detection, Unal, Y., Taspinar, Y.S., Cinar, I., Kursun, R., Koklu, M., 2022, cited in Food Analytical Methods, 15(12), pp. 3232–3243

8. Detection of defective Arabica green coffee beans based on feature combination and SVM | 基于特征组合与 SVM 的小粒种咖啡缺陷生豆检测, Zhao, Y., Yang, H., Zhang, Y., ... Yang, Y., Sai, M., 2022, cited in Nongye Gongcheng Xuebao Transactions of the Chinese Society of Agricultural Engineering, 38(14), pp. 295–302

9. Edge Detection Aided Geometrical Shape Analysis of Indian Gooseberry (Phyllanthus emblica) for Freshness Classification, Sarkar, T., Mukherjee, A., Chatterjee, K., ... Munekata, P.E.S., Lorenzo, J.M., 2022, cited in Food Analytical Methods, 15(6), pp. 1490–1507

10. Supervised Learning Aided Multiple Feature Analysis for Freshness Class Detection of Indian Gooseberry (Phyllanthus emblica), Sarkar, T., Mukherjee, A., Chatterjee, K., 2022, cited in Journal of the Institution of Engineers India Series A, 103(1), pp. 247–261

11. A Bayesian mixed effects support vector machine for learning and predicting daily substance use disorder patterns, Baurley, J.W., Claus, E.D., Witkiewitz, K., McMahan, C.S., 2022, cited in American Journal of Drug and Alcohol Abuse, 48(4), pp. 413–421

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Article 30: Plant disease prediction using convolutional neural network

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1. Hybrid random forest– artificial neural network model based forecasting of anthracnose in bottle gourd across different transplanting windows, Chittaragi, A., Patil, B., Kumar, M.K.P., Devanna, P., 2025, cited in Smart Agricultural Technology, 12, 101477

2. Deep ResNet50 Architecture for Enhanced Plant Disease Diagnosis, Uikey, J., Sukte, C., Futane, P., ... Shaikh, A., Patil, P., 2025, cited in 2025 IEEE International Students Conference on Electrical Electronics and Computer Science Sceecs 2025

3. Harvest Helper: AI-Driven Crop Selection Model, Bardhiya, H.S., Pavitra, M., Bagde, A., Bardhiya, V.A., 2025, cited in 4th International Conference on Sentiment Analysis and Deep Learning Icsadl 2025 Proceedings, pp. 1666–1671

4. Research on Crop Image Classification and Recognition Based on Improved HRNet, Ji, M., Yang, S., 2025, cited in Computers Materials and Continua, 84(2), pp. 3075–3103

5. Identification of Plant Diseases in Jordan Using Convolutional Neural Networks, Al-Shannaq, M.A., AL-Khateeb, S., Bsoul, A.A.-R.K., Saifan, A.A., 2024, cited in Electronics Switzerland, 13(24), 4942

6. Plant leaf disease detection using CNN, Pawar, A., Amrutkar, R., Somani, S., Mundada, G.S., 2024, cited in Aip Conference Proceedings, 3156(1), 070005

7. Herbal plant leaves classification for traditional medicine using convolutional neural network, Fauzi, A., Soerowirdjo, B., Haryatmi, E., 2024, cited in Iaes International Journal of Artificial Intelligence, 13(3), pp. 3322–3329

8. Plant Disease Detection Using Fusion of Deep Learning Algorithms, Adawale, S., Garade, V., Hajare, A., Narwade, A., Vharkate, M., 2024, cited in 2024 IEEE 9th International Conference for Convergence in Technology I2ct 2024

9. Plant Diseases Recognition Using Machine Learning Algorithms, Alketbi, S., Bonny, T., 2024, cited in Proceedings 2024 IEEE ACM International Conference on Big Data Computing Applications and Technologies Bdcat 2024, pp. 264–269

10. Plant Leaf Disease Detection Incorporating IoT and XAI-Enhanced Deep Learning, Partho, P.K.R., Rafi, M.A.H., Bhowmik, P., 2024, cited in 2024 27th International Conference on Computer and Information Technology Iccit 2024 Proceedings, pp. 2552–2557

11. Exploring AI and ML Strategies for Crop Health Monitoring and Management, Nanjundan, P., Indu, P.V., Thomas, L., 2024, cited in Sustainable Farming Through Machine Learning Enhancing Productivity and Efficiency, pp. 1–15

12. An Automated System for Osteoarthritis Severity Scoring Using Residual Neural Networks, Rachmad, A., Sonata, F., Hutagalung, J., ... Fuad, M., Rochman, E.M.S., 2023, cited in Mathematical Modelling of Engineering Problems, 10(5), pp. 1849–1856

13. AN EXPLAINABLE AI APPROACH TO AGROTECHNICAL MONITORING AND CROP DISEASES PREDICTION IN DNIPRO REGION OF UKRAINE, Laktionov, I., Diachenko, G., Rutkowska, D., Kisiel-Dorohinicki, M., 2023, cited in Journal of Artificial Intelligence and Soft Computing Research, 13(4), pp. 247–272

14. Web-based CNN Application for Arabica Coffee Leaf Disease Prediction in Smart Agriculture, Aufar, Y., Abdillah, M.H., Romadoni, J., 2023, cited in Jurnal Resti, 7(1), pp. 72–79

15. Crop Disease Detection Using Deep Neural Networks, Udaysinha Zanzaney, A., Hegde, R., Jain, L., Suman Choudhuri, S., Krishna Sharma, C., 2023, cited in 2023 International Conference on Network Multimedia and Information Technology Nmitcon 2023

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Article 31: Student behavior analysis to predict learning styles based felder silverman model using ensemble tree method

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1. AI-based learning style detection in adaptive learning systems: a systematic literature review, Ezzaim, A., Dahbi, A., Aqqal, A., Haidine, A., 2025, cited in Journal of Computers in Education, 12(3), pp. 731–769

2. Generative AI-Based Platform for Deliberate Teaching Practice: A Review and a Suggested Framework, Aperstein, Y., Cohen, Y., Apartsin, A., 2025, cited in Education Sciences, 15(4), 405

3. Exploring the VAK model to predict student learning styles based on learning activity, Sayed, A.R., Khafagy, M.H., Ali, M., Mohamed, M.H., 2025, cited in Intelligent Systems with Applications, 25, 200483

4. SBPM Model for Analyzing Students’ Learning Behavior Based on Fine Grained Emotion Analysis and Emotion Assessment, Wang, X., Li, J., 2025, cited in Informatica Slovenia, 49(7), pp. 187–200

5. Knowledge Graph Representation of Felder-Silverman Learning Style Model for Computing Education, Yousuf, M., Imran Jami, S., Wasi, S., Siddiqui, M.S., 2025, cited in IEEE Access, 13, pp. 134721–134734

6. Classification of natural specializations by priority component of the telescopic model of the natural cycle of activity, Ishkov, A., 2025, cited in Edelweiss Applied Science and Technology, 9(2), pp. 193–207

7. A Sustainable Educational Tool for Engineering Education Based on Learning Styles, AI, and Neural Networks Aligning with the UN 2030 Agenda for Sustainable Development, Isaza Domínguez, L.G., Velasquez Clavijo, F., Robles-Gómez, A., Pastor-Vargas, R., 2024, cited in Sustainability Switzerland, 16(20), 8923

8. Identifying student learning styles using support vector machine in felder-silverman model, Rafi, A., Musdholifah, A., Wardoyo, R., 2024, cited in Journal of Applied Data Sciences, 5(3), pp. 1495–1507

9. Predict student learning styles and suitable assessment methods using click stream, Rashad Sayed, A., Helmy Khafagy, M., Ali, M., Hussien Mohamed, M., 2024, cited in Egyptian Informatics Journal, 26, 100469

10. Learning Styles Impact Students’ Perceptions on Active Learning Methodologies: A Case Study on the Use of Live Coding and Short Programming Exercises, Masegosa, A.R., Cabañas, R., Maldonado, A.D., Morales, M., 2024, cited in Education Sciences, 14(3), 250

11. Towards Personalized Learning Environments: Using Machine Learning to Predict Students' Learning Preferences in a Mixed Reality Environment, Tomori, M., Ogunseiju, O., Tummalapudi, M., Bangaru, S., 2024, cited in Proceedings Frontiers in Education Conference Fie

12. Closing the gap: exploring the untapped potential of machine learning in deaf students and hearing students’ academic performance, Raji, N.R., Kumar, R.M.S., Biji, C.L., 2023, cited in International Journal of Advanced Technology and Engineering Exploration, 10(108), pp. 1449–1475

13. A Moodle Plugin for Rich xAPI Data Logging, Rotelli, D., Noël, Y., Lallé, S., Luengo, V., Pesce, D., 2023, cited in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 14200 LNCS, pp. 748–754

14. Student Behavior Analysis System in Smart Campus Based on Data Mining Algorithm, Han, W., Mansour, K., 2023, cited in Lecture Notes on Data Engineering and Communications Technologies, 169, pp. 368–375

15. Identifying Student Learning Styles using Support Vector Machine in The Felder-Silverman Learning Style Model, Saputra, J.P.B., Prabowo, H., Gaol, F.L., Hertono, G.F., 2023, cited in Proceedings 2023 15th International Congress on Advanced Applied Informatics Winter Iiai Aai Winter 2023, pp. 149–154

16. Student Behavior Analysis System Based on Kmeans Algorithm Under the Background of Smart Campus, Lv, Y., 2022, cited in Proceedings 2022 International Conference on Computer Network Electronic and Automation Iccnea 2022, pp. 174–177

17. Using Moodle Test Scores to Predict Success in an Online Course, Bertovic, D., Mravak, M., Nikolov, K., Vidovic, N., 2022, cited in 2022 30th International Conference on Software Telecommunications and Computer Networks Softcom 2022

18. A Systematic Literature Review Enhanced Felder Silverman Learning Style Models (FSLSM), Supangat, Saringat, M.Z.B., 2022, cited in 2022 7th International Conference on Informatics and Computing Icic 2022

19. Student behavior based on information technology and machine learning, Su, Y., 2021, cited in ACM International Conference Proceeding Series, pp. 2619–2623

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Article 32: Automatic Segmentation on Glioblastoma Brain Tumor Magnetic Resonance Imaging Using Modified U-Net

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1. Enhancing Brain Tumor Classification Performance Through Feature Selection In Machine Learning Models, Tjahyaningtijas, H.P.A., Rakhmawati, L., Puspitaningayu, P., Kusumaningsih, A., 2024, cited in 2024 IEEE International Conference on E Health Networking Application and Services Healthcom 2024

2. Brain Tumor Classification Using Deep Neural Network Based on MRI Images, Tjahyaningtijas, H.P.A., Suciningtyas, L., Nugroho, A.K., ... Rakhmawati, L., Rokhmawati, N., 2022, cited in 2022 5th International Conference on Vocational Education and Electrical Engineering the Future of Electrical Engineering Informatics and Educational Technology Through the Freedom of Study in the Post Pandemic Era Icvee 2022 Proceeding, pp. 25–29

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Article 33: Implementation of oxymetry sensors for cardiovascular load monitoring when physical exercise

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1. Wireless Sensor Network Topology Theory for Data Collection and Analysis of Sports Training Human Body, Fu, B., 2021, cited in Journal of Sensors, 2021, 9746107

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Article 34: Review on multi level inverter topologies and control strategies for solar power conversion

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1. Analysis and simulation of 7-level and 9-level cascaded H-bridge multi-level inverters, Banka, S., Kumar, C.S., Salkuti, S.R., ... Chaturya, P.P., Namineni, R., 2025, cited in International Journal of Applied Power Engineering, 14(1), pp. 11–22

2. Designing of a PSO-Based Adaptive SMC With a Multilevel Inverter for MPPT of PV Systems Under Rapidly Changing Weather Conditions, Anssari, O.M.H., Badamchizadeh, M., Ghaemi, S., 2024, cited in IEEE Access, 12, pp. 41421–41435

3. Analysis and Design of Reliable Converter Topology for Grid Connected PV Systems with ANN Controller, Bhanutej, J.N., Kumar, G.G., Kalahasthi, N., Mahalakshmi, K.S., 2023, cited in 2023 3rd International Conference on Smart Generation Computing Communication and Networking Smart Gencon 2023

4. Optimization Control and Management of Distributed Photovoltaic Grid Connection System Based on Intelligent Perception, Zhan, S., Ding, Z., Yan, S., Zhuang, D., 2023, cited in International Conference on Integrated Intelligence and Communication Systems Iciics 2023

5. A Brief Review of the Conventional and Multilevel Inverters Topologies, Adly, A.R., Abdul-Hamid, H.Y., Elhussiny, A., Zaky, M.S., El-Kholy, E.E., 2023, cited in IEEE Conference on Power Electronics and Renewable Energy Cpere 2023

6. An Overview on Multi-Level Inverter Topologies for Grid-Tied PV System, Anjaneya Vara Prasad, P., Dhanamjayulu, C., 2023, cited in International Transactions on Electrical Energy Systems, 2023, 9690344

7. Analysis of Solar Photovoltaic Powered Neutral Point Clamped Single Phase and Three Phase Five Level Inverters, Suryawanshi, A., Chopade, N., Mehta, H., 2022, cited in 2022 6th International Conference on Computing Communication Control and Automation Iccubea 2022

8. Enhancing Reusability: An Integrated Framework for Software Requirements Classification and Prioritization, Ali, T., Ur Rehman, S., Nawaz, A., Ahmed, M., 2022, cited in International Journal of Software Engineering and Knowledge Engineering

9. Reduced Switch Multi-Level Inverter with Fault Resilient Ability for off Grid Applications, Kumar, C.P., Karthick, N., Rao, A.M., 2021, cited in IEEE 2nd International Conference on Applied Electromagnetics Signal Processing and Communication Aespc 2021 Proceedings

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Article 35: Eligibility study on floating solar panel installation over brackish water in sungsang, south sumatra

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1. Performance analysis of floating and ground-mounted photovoltaic systems: An experimental study, Kumar, N., Pachauri, R.K., Kuchhal, P., ... Alotaibi, M.A., Malik, H., 2025, cited in Solar Energy, 302, 113989

2. A review on enhancement of solar photovoltaic (PV) system performance with water-based nano-fluid cooling systems, Priyadarshana, V.V., Induranga, A., Galpaya, C., Samarathunga, A.I., Koswattage, K., 2025, cited in Journal of Thermal Engineering, 11(4), pp. 1245–1260

3. Thermal behavior of floating photovoltaics: A comparison of performance at varying heights and benchmarking against land-based photovoltaics, Ramanan, C.J., Lim, K.H., Kurnia, J.C., 2025, cited in Applied Energy, 388, 125642

4. Assessing the availability and feasibility of renewable energy on the Great Barrier Reef-Australia, Virah-Sawmy, D., Sturmberg, B., Harrison, D.P., 2025, cited in Energy Reports, 13, pp. 2035–2065

5. Hybrid Machine learning models for PV output prediction: Harnessing Random Forest and LSTM-RNN for sustainable energy management in aquaponic system, Dewi, T., Mardiyati, E.N., Risma, P., Oktarina, Y., 2025, cited in Energy Conversion and Management, 330, 119663

6. Floating photovoltaic system based electrical power generation study in Indian context, Kumar, N., Pachauri, R.K., Kuchhal, P., Nkenyereye, L., 2025, cited in Renewable and Sustainable Energy Reviews, 212, 115442

7. Harnessing water for solar power: Economic and environmental insights from floating photovoltaic systems in Greece and in Cyprus, Lytopoulos, F., Xydis, G., 2025, cited in Energy Sources Part A Recovery Utilization and Environmental Effects, 47(1), pp. 5654–5674

8. Development of Low-Cost Floating Platform for Solar PV Installation, Ramanan C J, Lim, K.H., Kurnia, J.C., 2025, cited in Lecture Notes in Mechanical Engineering, pp. 13–21

9. Towards sustainable power generation: Recent advancements in floating photovoltaic technologies, Ramanan, C.J., Lim, K.H., Kurnia, J.C., ... Bora, B.J., Medhi, B.J., 2024, cited in Renewable and Sustainable Energy Reviews, 194, 114322

10. Hydro and Solar Based Cogeneration Technologies, Dewi, T., Risma, P., Oktarina, Y., 2024, cited in Encyclopedia of Renewable Energy Sustainability and the Environment Volume 1 4, 4, pp. 231–240

11. Performance analysis of ship mounting PV panels deployed in Sungsang Estuary and Bangka Strait, Indonesia, Zullah, A., Dewi, T., Rusdianasari, 2024, cited in Sinergi Indonesia, 28(1), pp. 169–182

12. TOWARDS ECOLOGICAL SUSTAINABILITY: HARVEST PREDICTION IN AGRIVOLTAIC CHILI FARMING WITH CNN TRANSFER LEARNING, Oktarina, Y., Nawawi, Z., Suprapto, B.Y., Dewi, T., 2024, cited in Iraqi Journal of Agricultural Sciences, 55(6), pp. 1910–1926

13. Technical Analysis of the Large Capacity Grid-Connected Floating Photovoltaic System on the Hydropower Reservoir, Nguyen, N.-H., Le, B.-C., Nguyen, L.-N., Bui, T.-T., 2023, cited in Energies, 16(9), 3780

14. Adoption of floating solar photovoltaics on waste water management system: a unique nexus of water-energy utilization, low-cost clean energy generation and water conservation, Goswami, A., Sadhu, P.K., 2023, cited in Clean Technologies and Environmental Policy, 25(2), pp. 343–368

15. Calculating the energy capacity and capacity factor of floating photovoltaic (FPV) power plant in the cirata reservoir using different types of solar panels, Febrian, H.G., Supriyanto, A., Purwanto, H., 2023, cited in Journal of Physics Conference Series, 2498(1), 012007

16. Fuzzy and LDR Based Sun Follower System, Alwi, S., Alrubayi, A.H., Al-Ghanimi, H., ... Abdulhussain, Z.N., Alchilibi, H., 2023, cited in Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2023, pp. 2709–2714

17. Solar Powered Greenhouse for Smart Agriculture, Oktarina, Y., Nawawi, Z., Suprapto, B.Y., Dewi, T., 2023, cited in Proceedings Ieit 2023 2023 International Conference on Electrical and Information Technology, pp. 36–42

18. Digitized Smart Solar Powered Agriculture Implementation in Palembang, South Sumatra, Oktarina, Y., Nawawi, Z., Suprapto, B.Y., Dewi, T., 2023, cited in International Conference on Electrical Engineering Computer Science and Informatics Eecsi, pp. 60–65

19. Integrating Fuzzy Logic with LDR Sensors for Optimized Solar Energy Harvesting in Sun-Tracking Systems, Jalluri, S.R., Tripathi, R.K., Vijayan, V., ... Vishwath, N.C.A., Das, S.K., 2023, cited in 2023 International Conference on Communication Security and Artificial Intelligence Iccsai 2023, pp. 805–810

20. An Evaluation of the Efficiency of the Floating Solar Panels in the Western Black Sea and the Razim-Sinoe Lagunar System, Manolache, A.I., Andrei, G., Rusu, L., 2023, cited in Journal of Marine Science and Engineering, 11(1), 203

21. Floating and terrestrial photovoltaic systems comparison under extreme weather conditions, Kaymak, M.K., Şahin, A.D., 2022, cited in International Journal of Energy Research, 46(14), pp. 20719–20727

22. Optimization of Output Power and Photovoltaic Efficiency with Adding Chromel Alumel Elements, Isnaeni, M.I., Kusumanto, R.D., Hasan, A., 2022, cited in Proceedings Ieit 2022 2022 International Conference on Electrical and Information Technology, pp. 238–243

23. Solar Energy as an Alternative Energy Source in Hydroponic Agriculture: A Pilot Study, Novaldo, E.V., Dewi, T., Rusdianasari, 2022, cited in Proceedings Ieit 2022 2022 International Conference on Electrical and Information Technology, pp. 202–205

24. Performance Optimization of Solar Powered Pump for Irrigation in Tanjung Raja, Indonesia, Alam, M., Dewi, T., Rusdianasari, 2022, cited in Proceedings Ieit 2022 2022 International Conference on Electrical and Information Technology, pp. 196–201

25. PV System Design, Economic Feasibility, and Environmental Impact as an Alternative Power Source for Hospital Application, Riyana, A., Dewi, T., Bow, Y., 2022, cited in Proceedings Ieit 2022 2022 International Conference on Electrical and Information Technology, pp. 206–211

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Article 36: Bag Toss Game based on Internet of Education Things (IoET) for the Development of Fine Motor Stimulation in Children 5-6 Years Old

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1. Body-part Identification Learning for Preschool Children Using Internet of Things, Suwastika, N.A., Sitohang, P.B., Yasirandi, R., Masrom, M., Qonita, Q., 2023, cited in Icadeis 2023 International Conference on Advancement in Data Science E Learning and Information Systems Data Intelligent Systems and the Applications for Human Life Proceeding

2. Design and Optimization of Children's Education Online Monitoring System Based on 5G and Internet of Things, Lv, W., Zhong, Q., 2022, cited in Scientific Programming, 2022, 5336786

3. Math Balance Aids based on Internet of Things for Arithmetic Operational Learning, Suwastika, N.A., Adam, Y.J., Pahlevi, R.R., Masrom, M., 2022, cited in International Journal of Advanced Computer Science and Applications, 13(8), pp. 215–225

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Article 37: Towards a Resilient Server with an external VMI in the Virtualization Environment

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1. Cloud computing solutions: Architecture, data storage, implementation and security, Pal, S., Dac-Nhuong, L., Pattnaik, P.K., 2021, cited in Cloud Computing Solutions Architecture Data Storage Implementation and Security, pp. 1–400

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Article 38: Implementation of a V/f Controlled Variable Speed Induction Motor Drive

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1. Variable frequency drive based on full-bridge class D for single-phase induction motor, Jati, B.P., Hapsari, J.P., Haddin, M., Prasetyowati, S.A.D., 2025, cited in International Journal of Power Electronics and Drive Systems, 16(3), pp. 1701–1710

2. A New Induction Motor V/f Control Capable of Starting With Lower Current and Rated Torque, Travieso-Torres, J.C., Ricaldi-Morales, A., Lee, S.S., 2025, cited in IEEE Transactions on Industrial Electronics, 72(9), pp. 8789–8797

3. Simplified V/f Control Algorithm for Reduction of Current Fluctuations in Variable-Speed Operation of Induction Motors, Son, D.-H., Kim, S.-A., 2024, cited in Energies, 17(7), 1699

4. Setting and Monitoring System for Motors on Rear Axle using Android Automotive Operating System, Ramadini, E.S., Ronaldo, F., Sari, D.M., Pramadihanto, D., 2024, cited in 2024 International Electronics Symposium Shaping the Future Society 5 0 and Beyond Ies 2024 Proceeding, pp. 400–405

5. V/F control speed of IM based on second-life of UPSs for E-tuk-tuk, Bun, M., Kim, B., Chrin, P., Maussion, P., 2024, cited in 2024 IEEE 22nd Mediterranean Electrotechnical Conference MELECON 2024, pp. 954–959

6. Design and Analysis of a 3-phase Inverter for EVs Speed Control and Regenerative Braking - A Novel Strategy, Abdelfatah, M.S., Solanki, P.S., Sreedarsan, S., 2024, cited in International Conference on Futuristic Technologies in Control Systems and Renewable Energy Icfcr 2024

7. Analytical comparison of SPWM & SVPWM techniques for three-phase induction motor V/F speed control, Mirdas, Q.H., Yasin, N.M., Alshamaa, N.K., 2023, cited in Aip Conference Proceedings, 2804(1), 050035

8. V/F control of AC motor using intelligent techniques, Nashee, A.F., Gaeid, K.S., Shallal, A.H., Abbas, A.E., 2023, cited in Aip Conference Proceedings, 2787(1), 050001

9. Simulation model for pulse width modulation-voltage source inverter of three-phase induction motor, Shneen, S.W., Shuraiji, A.L., 2023, cited in International Journal of Power Electronics and Drive Systems, 14(2), pp. 719–726

10. Optimized Wind Turbine Emulator based on an AC to DC Motor Generator Set, Aljarhizi, Y., Nouaiti, A., Ibrahmi, E.A., ... Hassoune, A., Mesbahi, A., 2023, cited in Engineering Technology and Applied Science Research, 13(2), pp. 10559–10564

11. Enhancing Dual VSI-Fed open-end Winding Induction Motor Performance Using Fourth Order Polynomial-Based Closed-Loop V/f Control, Kumar, A., Behera, R.K., 2023, cited in 2023 IEEE 3rd International Conference on Smart Technologies for Power Energy and Control Stpec 2023

12. Performance Investigation of Vector Control-based Induction Motor using Snetly Controller, Maddu, S.Y., Bhasme, N.R., 2022, cited in Ssrg International Journal of Electrical and Electronics Engineering, 9(12), pp. 109–119

13. Normalized Model Reference Adaptive Control Applied to High Starting Torque Scalar Control Scheme for Induction Motors, Travieso-Torres, J.C., Duarte-Mermoud, M.A., 2022, cited in Energies, 15(10), 3606

14. Closed-Loop Adaptive High-Starting Torque Scalar Control Scheme for Induction Motor Variable Speed Drives, Travieso-Torres, J.C., Duarte-Mermoud, M.A., Díaz, M., Contreras-Jara, C., Hernández, F., 2022, cited in Energies, 15(10), 3489

15. New Adaptive Starting Scalar Control Scheme for Induction Motor Variable Speed Drives, Travieso-Torres, J.C., Contreras-Jara, C., Diaz, M., Aguila-Camacho, N., Duarte-Mermoud, M.A., 2022, cited in IEEE Transactions on Energy Conversion, 37(1), pp. 729–736

16. Maximum Torque per Ampere Controller for 3-Phase Scalar Controlled Induction Motor Drive, Shithin Das, T.S., Roykumar, M., 2022, cited in Proceedings of 2022 International Conference on Intelligent Innovations in Engineering and Technology Iciiet 2022, pp. 216–221

17. PSO Algorithm for Three Phase Induction Motor with V/F Speed Control, Mirdas, Q.H., Yasin, N.M., Alshamaa, N.K., 2022, cited in Icoase 2022 4th International Conference on Advanced Science and Engineering, pp. 166–171

18. Three phase MLI implementation of V/F control for three phase induction motor based on FPGA and Gary wolf algorithm, Hussein, T.A., Mohammed, L.A., Hamdy, L.A., 2022, cited in Przeglad Elektrotechniczny, 98(8), pp. 41–46

19. Design and Implementation of SVPWM Inverter to Reduce Total Harmonic Distortion (THD) on Three Phase Induction Motor Speed Regulation Using Constant V/F, Sudaryanto, A., Purwanto, E., Ferdiansyah, I., ... Rifadil, M.M., Rusli, M.R., 2020, cited in 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems Isriti 2020, pp. 412–417, 9315353

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Article 39: Comparation of SAW method and TOPSIS in assesing the best area using HSE standards

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1. A comparison between TOPSIS and SAW methods, Ciardiello, F., Genovese, A., 2023, cited in Annals of Operations Research, 325(2), pp. 967–994

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Article 40: Stable Algorithm Based On Lax-Friedrichs Scheme for Visualization of Shallow Water

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1. Numerical Simulation of Flows Induced by Dam Break: Trapezoidal Obstacles and Venturi Configurations, Gouffi, S., Ikni, T., Merah, F., Berreksi, A., Bennacer, L., 2025, cited in Jordan Journal of Civil Engineering, 19(3), pp. 468–485

2. NUMERICAL COMPUTATION OF ONE-AND TWO-LAYER SHALLOW FLOW MODEL, Dharmawan, K., Swastika, P.V., Gandhiadi, G.K., 2024, cited in Barekeng, 18(3), pp. 1509–1518

3. Shallow Water Models for Efficiently Visualizing Fluid Flow in Complex Topography Areas, Sanjoyo, B.A., Purwitasari, D., Hariadi, M., Tsukasa, K., Purnomo, M.H., 2021, cited in Iaeng International Journal of Applied Mathematics, 51(1), pp. 1–10

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Article 41: Unsupervised twitter sentiment analysis on the revision of Indonesian code law and the anti-corruption law using combination method of opinion word and agglomerative hierarchical clustering

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1. Comprehensive review and comparative analysis of transformer models in sentiment analysis, Bashiri, H., Naderi, H., 2024, cited in Knowledge and Information Systems, 66(12), pp. 7305–7361

2. Research on Optimal Design of Civil Sensors Based on Agglomerative Hierarchical Clustering Algorithm, Cheng, X., Zhu, L., Cheng, Y., 2024, cited in Tehnicki Vjesnik, 31(5), pp. 1455–1463

3. Evaluating disaster-related tweet credibility using content-based and user-based features, Assery, N., Xiaohong, Y., Xiuli, Q., Kaushik, R., Almalki, S., 2022, cited in Information Discovery and Delivery, 50(1), pp. 45–53

4. Optimization of Sentiment Analysis using Naive Bayes with Features Selection Chi-Square and Information Gain for Accuracy Improvement, Kurniawan, D., Yasir, M., Venna, F.C., 2022, cited in International Conference on Electrical Engineering Computer Science and Informatics Eecsi, 2022-October, pp. 153–160

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Article 42: Energy efficiency optimization for intermediate node selection using MhSA-LEACH: Multi-hop simulated annealing in wireless sensor network

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1. Minimization of Energy Utilization using Novel Routing with Energy Optimal Algorithm in Cognitive Radio Networks, Lakshmi, M.J., Arrama, M.B., 2025, cited in SN Computer Science, 6(7), 814

2. Atomic Energy Optimization for Wireless Sensor Network Clustering (AEOWSNC) Protocol for Energy-Efficient Wireless Sensor Networks, Benhadji, M., Kaddi, M., Omari, M., 2025, cited in Engineering Technology and Applied Science Research, 15(3), pp. 22802–22810

3. An Overview of Metaheuristic Techniques for Optimizing Hierarchical Routing in Wireless Sensor Networks: A Review Study, Benhadji, M., Kaddi, M., Omari, M., Lagouch, A., 2025, cited in Smart Innovation Systems and Technologies, 436, pp. 253–265

4. A metaheuristic approach for hierarchical wireless sensor networks using particle swarm optimisation-based Enhanced LEACH protocol, Bekal, P., Kumar, P., Mane, P.R., 2024, cited in Iet Wireless Sensor Systems, 14(6), pp. 410–426

5. Simulated Annealing for Optimal Placement of Wireless Sensor Network Nodes, Priyadarshi, R., Gupta, B., Ghosh, S., 2024, cited in International Symposium on Wireless Personal Multimedia Communications Wpmc

6. Adapting the Simulated Annealing Algorithm to Enhance the Performance of the LEACH Protocol, Benhadji, M., Mohammed, K., Mohammed, O., 2024, cited in 2024 International Conference on Computer and Applications Icca 2024

7. An Energy-Efficient Trajectory Prediction for UAVs Using an Optimised 3D Improvised Protocol, Gupta, V., Seth, D., Yadav, D.K., 2023, cited in Wireless Personal Communications, 132(4), pp. 2963–2989

8. A Novel Hybridclustering Model Forwireless Sensor Networks, Vijayalakshmi, P., Saravanan, M., Rani, M.T., ... Palaniappan, R., Nagaraj, V., 2023, cited in Proceedings of the International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering Iceconf 2023

9. Energy Efficient Clustering using Binary Coded Tournament selection based Genetic Algorithm, Lavanya, K., Thilagavthi, J., Puviarasu, A., ... Muruganantham, S., Thangamani, M., 2022, cited in Ssrg International Journal of Electrical and Electronics Engineering, 9(10), pp. 27–33

10. AEr-Aware Data Aggregation in Wireless Sensor Network Using Hybrid Multi-Verse-Optimized Connected Dominant Set, Santhoshkumar, K., Suganthi, P., 2022, cited in International Journal of Information Security and Privacy, 16(2), 13

11. Hybrid energy efficient network using firefly algorithm, PR-PEGASIS and ADC-ANN in WSN, Ali, S., Kumar, R., 2022, cited in Sensors International, 3, 100154

12. A Modified Leach Protocol in Wireless Sensor Networks for Energy Efficient Routing Protocol, Kumawat, S., Kaur, H., Dahiya, O., 2022, cited in Proceedings of 3rd International Conference on Intelligent Engineering and Management Iciem 2022, pp. 785–790

13. Enhancing QoS and Residual Energy by Using of Grid-Size Clustering, K-Means, and TSP Algorithms With MDC in LEACH Protocol, Gantassi, R., Masood, Z., Choi, Y., 2022, cited in IEEE Access, 10, pp. 58199–58211

14. Enhance Energy Conservation Based on Residual Energy and Distance for WSNs, Alabady, S.A., Alhajji, S.S., 2021, cited in Wireless Personal Communications, 121(4), pp. 3343–3364

15. Centralized multi-hop routing based on multi-start minimum spanning forest algorithm in the wireless sensor networks, Jin, R., Fan, X., Sun, T., 2021, cited in Sensors, 21(5), pp. 1–16, 1775

16. Sensor duty cycle for prolonging network lifetime using quantum clone grey Wolf optimization algorithm in industrial wireless sensor networks, Liu, Y., Xiao, J., Li, C., Qin, H., Zhou, J., 2021, cited in Journal of Sensors, 2021, 5511745

17. A Novel QoS Routing Energy Consumption Optimization Method Based on Clone Adaptive Whale Optimization Algorithm in IWSNs, Xiao, J., Liu, Y., Qin, H., Li, C., Zhou, J., 2021, cited in Journal of Sensors, 2021, 5579252

---

Article 43: Thermal Analysis of Solar Air Heater with Ventilator Turbine and Fins

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1. Performance Enhancement Of Perforated Solar Air Heater With Baffles Based On Passive Mixing Technique, Gitan, A.A., Ameen, M.A.H., 2024, cited in Aip Conference Proceedings, 2885(1), 020007

---

Article 44: Automatic segmentation on glioblastoma brain tumor magnetic resonance imaging using modified u-net

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1. Improved Image Classification Task Using Enhanced Visual Geometry Group of Convolution Neural Networks, Zakaria, N., Hassim, Y.M.M., 2023, cited in International Journal on Informatics Visualization, 7(4), pp. 2498–2505

2. Evolution in diagnosis and detection of brain tumor – review, Sravanthi Peddinti, A., Maloji, S., Manepalli, K., 2021, cited in Journal of Physics Conference Series, 2115(1), 012039

3. Activation Functions Evaluation to Improve Performance of Convolutional Neural Network in Brain Disease Classification Based on Magnetic Resonance Images, Rumala, D.J., Yuniarno, E.M., Rachmadi, R.F., ... Sensusiati, A.D., Purnama, I.K.E., 2020, cited in Cenim 2020 Proceeding International Conference on Computer Engineering Network and Intelligent Multimedia 2020, pp. 402–407, 9297862

---

Article 45: FPGA Based Design of Artificial Neural Processor Used for Wireless Sensor Network

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1. Elevator controller based on implementing a random access memory in FPGA, Saeed, A.B., 2021, cited in International Journal of Electrical and Computer Engineering, 11(2), pp. 1053–1062

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Article 46: Design and implementation of embedded water quality control and monitoring system for indoor shrimp cultivation

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2. An internet of things-based pump and aerator control system, Mawardi, Sihombing, P.M., Yudisha, N., 2024, cited in Indonesian Journal of Electrical Engineering and Computer Science, 34(2), pp. 848–860

3. Intelligent Innovative Design of Indoor VR Based on Machine Vision, He, J., 2023, cited in Lecture Notes on Data Engineering and Communications Technologies, 170, pp. 714–722

4. Microorganism estimation in a shrimp pond using Gaussian process regressor and gradient tree boosting, Natan, O., Gunawan, A.I., Dewantara, B.S.B., Ispianto, J., 2020, cited in International Journal of Intelligent Engineering and Systems, 13(3), pp. 1–10

5. A Study for Estimation of Bio Organism Content in Aquaculture Pond Based on Image Color and Light Intensity, Gunawan, A.I., Pratama, A.E., Bayu Dewantara, B.S., Puspitasari, I., Setyastuti, T.A., 2019, cited in Ies 2019 International Electronics Symposium the Role of Techno Intelligence in Creating an Open Energy System Towards Energy Democracy Proceedings, pp. 650–654, 8901544

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Article 47: A simplified sounding system for finding NVIS channel availability to support government radio networks in Indonesia

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1. Using the WSPR Mode for Antenna Performance Evaluation and Propagation Assessment on the 160-m Band, Vanhamel, J., Machiels, W., Lamy, H., 2022, cited in International Journal of Antennas and Propagation, 2022, 4809313

2. Reverse Engineering WSPR on VHF Frequency Band, Paramadina, F., Dutono, T., Santoso, T.B., 2020, cited in Ies 2020 International Electronics Symposium the Role of Autonomous and Intelligent Systems for Human Life and Comfort, pp. 157–162, 9231786

3. An Ethical Review of Operating Procedures Concerning the Current Condition of 7 MHz Amateur Band Usage in Indonesia, Dutono, T., 2019, cited in Ies 2019 International Electronics Symposium the Role of Techno Intelligence in Creating an Open Energy System Towards Energy Democracy Proceedings, pp. 49–52, 8901586

4. A Report of C-class Solar Flare Affecting NVIS Link at 5 MHz Band (∗), Dutono, T., Zakariyah, Z., Santoso, T.B., 2019, cited in Ies 2019 International Electronics Symposium the Role of Techno Intelligence in Creating an Open Energy System Towards Energy Democracy Proceedings, pp. 105–109, 8901653

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Article 48: Automatic Detection of Wrecked Airplanes from UAV Images

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1. Image Augmentation For Aircraft Parts Detection Using Mask R-CNN, Utomo, S., Sulistyaningrum, D.R., Setiyono, B., Nasution, A.H.I., 2024, cited in 2024 International Conference on Smart Computing Iot and Machine Learning Siml 2024, pp. 186–192

2. Comparison of RSNET model with existing models for potato leaf disease detection, Singh, G., Yogi, K.K., 2023, cited in Biocatalysis and Agricultural Biotechnology, 50, 102726

3. Depth Maps and 3D Batik: A Methodological Exploration of Structure from Motion in Fashion Technology, Risnumawan, A., Anggraeni, M.E., Firmansah, M., 2023, cited in Proceedings 2023 IEEE 7th International Conference on Information Technology Information Systems and Electrical Engineering Icitisee 2023, pp. 112–117

4. Performance evaluation of plant leaf disease detection using deep learning models, Singh, G., Yogi, K.K., 2023, cited in Archives of Phytopathology and Plant Protection, 56(3), pp. 209–233

5. Design of Quad Plane UAV with Carrier Gripper for First Aid of Victims from Aircraft Accident, Hidayatulloh, A.H., Adji Sulstijono, I., Risnumawan, A., Hanafi, N., 2020, cited in Ies 2020 International Electronics Symposium the Role of Autonomous and Intelligent Systems for Human Life and Comfort, pp. 239–246, 9231846

6. Aerial Drone Mapping and Trajectories Generator for Agricultural Ground Robots, Sulistijono, I.A., Ramadhani, M.R., Risnumawan, A., 2020, cited in 2020 International Symposium on Community Centric Systems Ccs 2020, 9231397

7. Potato Leaf Disease Classification Using Deep Learning Approach, Sholihati, R.A., Sulistijono, I.A., Risnumawan, A., Kusumawati, E., 2020, cited in Ies 2020 International Electronics Symposium the Role of Autonomous and Intelligent Systems for Human Life and Comfort, pp. 392–397, 9231784

8. Surveillance System for Illegal Fishing Prevention on UAV Imagery Using Computer Vision, Prayudi, A., Sulistijono, I.A., Risnumawan, A., Darojah, Z., 2020, cited in Ies 2020 International Electronics Symposium the Role of Autonomous and Intelligent Systems for Human Life and Comfort, pp. 385–391, 9231539

9. Tile Surface Segmentation Using Deep Convolutional Encoder-Decoder Architecture, Fajrianti, E.D., Suryawati Ningrum, E., Risnumawan, A., Madalena, K.V., 2020, cited in Ies 2020 International Electronics Symposium the Role of Autonomous and Intelligent Systems for Human Life and Comfort, pp. 364–370, 9231575

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Article 49: Nuclei detection and classification system based on speeded up robust feature (SURF)

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---

Article 50: Ai-josyu: Thinking support system in class by real-time speech recognition and keyword extraction

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1. An automated voice command classification model based on an attention-deep convolutional neural network for industrial automation system, Aydogmus, O., Bingol, M.C., Boztas, G., Tuncer, T., 2023, cited in Engineering Applications of Artificial Intelligence, 126, 107120

2. AUTOLV: AUTOMATIC LECTURE VIDEO GENERATOR, Wang, W., Song, Y., Jha, S., 2022, cited in Proceedings International Conference on Image Processing Icip, pp. 1086–1090

---

Article 51: Load Identification Using Harmonic Based on Probabilistic Neural Network

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2. Education quality detection method based on the probabilistic neural network algorithm, WU, C., JIANG, H., WANG, P., 2020, cited in Diagnostyka, 21(4), pp. 79–86

---

Article 52: Performance analysis of specification computer and mobile with implementation tawaf virtual reality using a∗ algorithm and rvo system

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1. Virtual Reality Software and Data Processing Algorithms Packaged Online for Videos, Zeng, L., Guo, K., 2022, cited in Mobile Information Systems, 2022, 2148742

---

Article 53: Focused time delay neural network for tuning automatic voltage regulator

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1. Optimal Nonlinear Robust Sliding Mode Control of an Excitation System Based on Mixed H2/H∞ Linear Matrix Inequalities, Zou, Y., Wang, Y., Chen, J., ... Sun, W., Xiao, Z., 2024, cited in Protection and Control of Modern Power Systems, 9(4), pp. 1–22

2. Prediction of tail biting in pigs using partial least squares regression and artificial neural networks, Drexl, V., Dittrich, I., Wilder, T., ... Janssen, H., Krieter, J., 2024, cited in Computers and Electronics in Agriculture, 216, 108477

3. An Improved Feed-Forward Backpropagation Neural Network Based on Marine Predators Algorithm for Tuning Automatic Voltage Regulator, Aribowo, W., Rahmadian, R., Widyartono, M., Wardani, A.L., Prapanca, A., 2023, cited in Ecti Transactions on Electrical Engineering Electronics and Communications, 21(2), 249830

4. Performance Analysis of the AVR Using An Artificial Neural Network and Genetic Algorithm Optimization Technique, Goswami, N., Habib, M.R., Shatil, A.H., Ahmed, K.F., 2023, cited in International Conference on Robotics Electrical and Signal Processing Techniques, 2023-January, pp. 40–45

5. Slime Mould Algorithm Training Neural Network in Automatic Voltage Regulator, Aribowo, W., 2022, cited in Trends in Sciences, 19(3), 2145

6. Slime Mold Algorithm Based Hybridized Artificial Neural Network Model for Efficient Automatic Voltage Regulation Control | Гібридизована модель штучної нейронної мережі на основі алгоритму слизової цвілі для ефективного автоматичного регулювання напруги, Ghosh, P., Dutta, R., Muthulakshmi, V., 2021, cited in Journal of Nano and Electronic Physics, 13(3), pp. 1–5

7. An improved neural network based on the parasitism – predation algorithm for an automatic voltage regulator, Aribowo, W., Suprianto, B., Buditjahjanto, I.G.P.A., Widyartono, M., Rohman, M., 2021, cited in Ecti Transactions on Electrical Engineering Electronics and Communications, 19(2), pp. 136–144

8. Tuning of Power System Stabilizer Using Cascade Forward Backpropagation, Aribowo, W., Muslim, S., Munoto, ... Kartini, U.T., Asto Buditjahjanto, I.G.P., 2020, cited in Proceeding 2020 3rd International Conference on Vocational Education and Electrical Engineering Strengthening the Framework of Society 5 0 Through Innovations in Education Electrical Engineering and Informatics Engineering Icvee 2020, 9243204

9. Generalized Regression Neural Network for Long-Term Electricity Load Forecasting, Aribowo, W., Muslim, S., Basuki, I., 2020, cited in Proceeding Icosta 2020 2020 International Conference on Smart Technology and Applications Empowering Industrial Iot by Implementing Green Technology for Sustainable Development, 9079329

10. Optimal Control of AVR System with Tree Seed Algorithm-Based PID Controller, Kose, E., 2020, cited in IEEE Access, 8, pp. 89457–89467, 9090845

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Article 54: Medical image encryption using modified identity based encryption

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2. Performance Evaluation of AES, ECC and Logistic Chaotic Map Algorithms in Image Encryption, Hussien, F.T.A., Khairi, T.W.A., 2023, cited in International Journal of Interactive Mobile Technologies, 17(10), pp. 193–211

3. FPGA Hardware Co-Simulation of a Stream Cipher Image Cryptosystem based on Fixed-Point Chaotic Map, Aouissaoui, I., Bakir, T., Sakly, A., 2022, cited in 2022 19th IEEE International Multi Conference on Systems Signals and Devices Ssd 2022, pp. 1764–1769

4. Robustly correlated key-medical image for DNA-chaos based encryption, Aouissaoui, I., Bakir, T., Sakly, A., 2021, cited in Iet Image Processing, 15(12), pp. 2770–2786

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Article 55: An Efficient Solution to Travelling Salesman Problem using Genetic Algorithm with Modified Crossover Operator

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Article 56: Classification and risk-mapping of river water quality in surabaya with semantic visualitzation

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1. Monitoring and Forecasting Water Environment Parameters for Smart Aquaculture Using LSTM, Huu, P.N., Minh, Q.T., Dang, D.D., ... Ngoc, P.P., Minh, Q.T., 2022, cited in Proceedings 2022 Rivf International Conference on Computing and Communication Technologies Rivf 2022, pp. 53–58

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Article 57: Enhanced PEGASIS using dynamic programming for data gathering in wireless sensor network

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1. Improvement of Routing Protocol for Wireless Sensor Networks Based on PEGASIS, Wang, H., Zhang, L., 2022, cited in Jisuanji Gongcheng Computer Engineering, 48(12), pp. 165–179

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Article 58: Teen-size humanoid FLoW complete analytical kinematics

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1. Kinematics modeling of six degrees of freedom humanoid robot arm using improved damped least squares for visual grasping, Setyawan, M.R.H., Dewanto, R.S., Marta, B.S., Binugroho, E.H., Pramadihanto, D., 2023, cited in International Journal of Electrical and Computer Engineering, 13(1), pp. 288–298

2. Mechanical and Forward Kinematic Analysis of Prosthetic Robot Hand for T-FLoW 3.0, Bachtiar, Y., Pristovani, R.D., Dewanto, S., Pramadihanto, D., 2018, cited in 2018 International Electronics Symposium on Engineering Technology and Applications Ies Eta 2018 Proceedings, pp. 275–280, 8615522

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Article 59: Rule-based Sentiment Degree Measurement of Opinion Mining of Community Participatory in the Government of Surabaya

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1. Mining Opinions on a Prominent Health Insurance Provider from Social Media Microblog: Affective Model and Contextual Analysis Approach, Rasyada, I., Barakbah, A., Amalo, E.A., 2023, cited in International Journal on Informatics Visualization, 7(2), pp. 621–630

2. Social media engineering for issues feature extraction using categorization knowledge modelling and rule-based sentiment analysis, Islami, M.T.F.A., Barakbah, A.R., Harsono, T., 2021, cited in International Journal on Informatics Visualization, 5(1), pp. 83–93

3. Sentiment Analysis of BPJS Kesehatan's Services Based on Affective Models, Rasyada, I., Setiowati, Y., Barakbah, A., Fiddin Al Islami, M.T., 2020, cited in Ies 2020 International Electronics Symposium the Role of Autonomous and Intelligent Systems for Human Life and Comfort, pp. 549–556, 9231940

4. Interactive applied graph chatbot with semantic recognition, Fiddin Al Islami, M.T., Ridho Barakbah, A., Harsono, T., 2020, cited in Ies 2020 International Electronics Symposium the Role of Autonomous and Intelligent Systems for Human Life and Comfort, pp. 557–564, 9231678

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Article 60: Walking trajectory optimization algorithm for robot humanoid on synthetic grass

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1. Integrated Footstep Planning and CoM Control for Enhanced Stability and Maneuverability in EROS Humanoid Robot, Fatahillah, T.Z., Surya Nobelia, B., Risnumawan, A., ... Pradana, E.Y., Wijaya, C.K., 2024, cited in 2024 International Electronics Symposium Shaping the Future Society 5 0 and Beyond Ies 2024 Proceeding, pp. 291–296

2. Balance control of humanoid dancing robot erisa while walking on sloped surface using PID, Alasiry, A.H., Satria, N.F., Sugiarto, A., 2018, cited in 2018 International Seminar on Research of Information Technology and Intelligent Systems Isriti 2018, pp. 577–581, 8864447

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Article 61: Power generation forecasting of dual-axis solar tracked PV system based on averaging and simple weighting ensemble neural networks

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1. Data Analytics in Solar Photovoltaics Power Forecasting for Smart Grid Applications, Jose, S., Itagi, R.L., 2021, cited in 2021 International Conference on Intelligent Technologies Conit 2021

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Article 62: Determination of nearest emergency service office using haversine formula based on android platform

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2. Application of XGBoost algorithm and grid search hyperparameter tuning to study health effects among individuals in the industrial area, Johnson, S., Perumalsamy, D., 2025, cited in Multimedia Tools and Applications, 84(28), pp. 34449–34492

3. A network-based mobile positioning system using an optimization model, Sabri, A., Kosasih, R., 2024, cited in International Journal of Advances in Applied Sciences, 13(2), pp. 298–312

4. Smart Delivery Assignment through Machine Learning and the Hungarian Algorithm, Vásconez, J.P., Schotborgh, E., Vásconez, I.N., ... Guamán-Rivera, R., Guevara, L., 2024, cited in Smart Cities, 7(3), pp. 1109–1125

5. Development Geofencing Process and Face Recognition Design Using Haversine Formula and the K-Nearest Neighbor Algorithm in the Employee Attendance Application, Lubis, F., Prihandi, I., Usino, W., Ismail, N.A.B., 2024, cited in Aip Conference Proceedings, 2987(1), 020007

6. DishKit—Integrated Dish Preparation and Ingredient Delivery System, Reddy, P.P.S., Sashank, R., Reddy, A.S., Kumar, S.J., Suresh, V.P., 2024, cited in Lecture Notes in Networks and Systems, 1163, pp. 275–287

7. Monitoring Railway Journeys at Unauthorized Crossings in Padang City using Geographic Information System (GIS), Nirad, D.W.S., Kartika, A.D., Ramadhan, I.R., Putri, A.N., Vadreas, A.K., 2024, cited in Icsintesa 2024 2024 4th International Conference of Science and Information Technology in Smart Administration the Collaboration of Smart Technology and Good Governance for Sustainable Development Goals, pp. 154–158

8. Scalable Incident Reporting Framework: A Sensor and IoT Research, Ahmed Ghaly, S.M., Kadampur, M.A., 2023, cited in Engineering Technology and Applied Science Research, 13(3), pp. 10748–10753

9. Laptop Anti-Theft System with Tracking and Image Capture Device Based on Internet of Things Technology, Santika, R., Pramudita, B.A., Puspita, N.F., Sumaryo, S., 2023, cited in 2023 International Conference on Data Science and Its Applications Icodsa 2023, pp. 53–58

10. The Impact of Telemetry Received Signal Strength of IMU/GNSS Data Transmission on Autonomous Vehicle Navigation, Khosyi’in, M., Prasetyowati, S.A.D., Suprapto, B.Y., Nawawi, Z., 2022, cited in Indonesian Journal of Electrical Engineering and Informatics, 10(4), pp. 970–982

11. Mobile Deployed Measurement of RF Man-Made Noise Making Use of RTL-SDR, McQuire, L., Kahn, M.T., Balyan, V., 2022, cited in Lecture Notes in Networks and Systems, 314, pp. 867–876

12. Notification System and GPS Position Tracking as a Security Feature for Child Pick Up At Daycare, Aisuwarya, R., Erlina, T., Sabyl, S.A., 2022, cited in Proceeding 2022 International Symposium on Information Technology and Digital Innovation Technology Innovation During Pandemic Isitdi 2022, pp. 55–58

13. Location-Aware Augmented-Reality for Predicting Sea Level Rise in Situ, Sarri, F., Ragia, L., Panagiotopoulou, A., Mania, K., 2022, cited in 2022 International Conference on Interactive Media Smart Systems and Emerging Technologies Imet 2022 Proceedings

14. The promises and perils of Automatic Identification System data, Emmens, T., Amrit, C., Abdi, A., Ghosh, M., 2021, cited in Expert Systems with Applications, 178, 114975

15. An effective aqi estimation using sensor data and stacking mechanism, Duong, D.Q., Le, Q.M., Nguyen-Tai, T.-L., ... Dao, M.-S., Nguyen, B.T., 2021, cited in Frontiers in Artificial Intelligence and Applications, 337, pp. 405–418

16. Predicting irregularities in arrival times for transit buses with recurrent neural networks using GPS coordinates and weather data, Alam, O., Kush, A., Emami, A., Pouladzadeh, P., 2021, cited in Journal of Ambient Intelligence and Humanized Computing, 12(7), pp. 7813–7826

17. Optimization of Aircraft Flight Scheduling and Routing Problem Using Multi-Objective Antlion Optimization, Fijar Awalivian, M.R., Suyanto, Sa'Adah, S., 2021, cited in Icaicst 2021 2021 International Conference on Artificial Intelligence and Computer Science Technology, pp. 1–6, 9497849

18. Fire risk sub-module assessment under solvency ii. Calculating the highest risk exposure, Badal-Valero, E., Coll-Serrano, V., Segura-Gisbert, J., 2021, cited in Mathematics, 9(11), 1279

19. Automatic Traffic Density Control System with Wireless Speed Limit Notification, Shankarappa, P.M., Bajpai, A., 2021, cited in 2021 IEEE 11th Annual Computing and Communication Workshop and Conference Ccwc 2021, pp. 1448–1452, 9376053

20. Haversine and Tabu Search in Determining the Nearest Bus Stop based on GIS, Candra, A., Rachmawati, D., Faradillah, I.N., 2021, cited in 2021 International Conference on Data Science Artificial Intelligence and Business Analytics Databia 2021 Proceedings, pp. 176–179

21. Multimodal Deep Learning for Transboundary Haze Prediction, Nguyen, P.-T., Saleem, N.M., 2021, cited in Ceur Workshop Proceedings, 3181

22. Measuring Spatio-Temporal Responses to Hurricane Matthew Employing TwitGis, Yum, S., 2021, cited in International Journal of Geospatial and Environmental Research, 8(3), A11

23. Multi-source Machine Learning for AQI Estimation, Duong, D.Q., Le, Q.M., Nguyen-Tai, T.-L., ... Dao, M.-S., Nguyen, B.T., 2020, cited in Proceedings 2020 IEEE International Conference on Big Data Big Data 2020, pp. 4567–4576, 9378322

24. Use of Haversine Formula in Finding Distance between Temporary Shelter and Waste End Processing Sites, Azdy, R.A., Darnis, F., 2020, cited in Journal of Physics Conference Series, 1500(1), 012104

25. Measure distance locating nearest public facilities using Haversine and Euclidean Methods, Maria, E., Budiman, E., Haviluddin, Taruk, M., 2020, cited in Journal of Physics Conference Series, 1450(1), 012080

26. A2QI: An approach for air pollution estimation in MediaEval 2020, Duong, D.Q., Le, Q.M., Nguyen, D., 2020, cited in Ceur Workshop Proceedings, 2882

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Article 63: Underwater Acoustic Channel Characterization of Shallow Water Environment

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Article 64: Optimal design and cost analysis of hybrid autonomous distributed generation system for a critical load

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2. Assessing the viability of solar-biogas hybrid systems for energy provision in rural Kenyan communities, Kimutai, S.K., Dushengere, B., Muchilwa, I., 2025, cited in Sustainable Energy Technologies and Assessments, 75, 104244

3. A novel approach for sizing and optimization of hybrid solar-PV, biogas-generator, and batteries system for rural electrification: case study, Ebeya, C.C., Ali, M.M., Ndongo, M., ... Diagne, H.M., Youm, I., 2023, cited in International Journal of Power Electronics and Drive Systems, 14(2), pp. 1070–1084

4. Analysis of backup power supply for unreliable grid using hybrid solar PV/diesel/biogas system, Sanni, S.O., Oricha, J.Y., Oyewole, T.O., Bawonda, F.I., 2021, cited in Energy, 227, 120506

5. Potential of Off-grid Solar PV/Biogas power generation system: Case study of Ado Ekiti slaughterhouse, Sanni, S.O., Ibrahim, M., Mahmud, I., Oyewole, T.O., Olusuyi, K.O., 2019, cited in International Journal of Renewable Energy Research, 9(3), pp. 1309–1318

---

Article 65: Botnet detection using on-line clustering with pursuit reinforcement competitive learning (PRCL)

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1. Q-Learning Approach Applied to Network Security, Utic, Z., Oyemaja, A., 2025, cited in Electronics Switzerland, 14(10), 1996

2. A Survey of Reinforcement Learning in Intrusion Detection, Utic, Z., Ramachandran, K., 2022, cited in 2022 1st International Conference on AI in Cybersecurity Icaic 2022

3. Survey on Botnet Detection Techniques: Classification, Methods, and Evaluation, Xing, Y., Shu, H., Zhao, H., Li, D., Guo, L., 2021, cited in Mathematical Problems in Engineering, 2021, 6640499

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Article 66: Feature Extraction For Application of Heart Abnormalities Detection Through Iris Based on Mobile Devices

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1. CARDIOVASCULAR ABNORMALITIES DETECTION THROUGH IRIS USING THRESHOLDING ALGORITHM, Upasani, N., Manna, A., Pingale, S., ... Rathi, S., Surpatne, S., 2023, cited in Journal of Theoretical and Applied Information Technology, 101(4), pp. 1322–1330

2. Disease Detection Based on Iris Recognition, Shanthalaksmi Revathy, J.R., Yogeshwaran, R., Vishal, S.K., 2023, cited in 2023 International Conference on Energy Materials and Communication Engineering Icemce 2023

3. An alternative approach for determining the cholesterol level: Iris analysis, Ozbilgin, F., Kurnaz, C., 2022, cited in International Journal of Imaging Systems and Technology, 32(4), pp. 1159–1171

4. SSIM As Validation Technique on Normalization Segmented Iris, Vresdian, D.J., Al-Yousif, S., Pratama, L.P., ... Islami, A.Y., Dionova, B.W., 2022, cited in 2022 Fortei International Conference on Electrical Engineering Fortei Icee 2022 Proceeding, pp. 87–90

5. Verification of Iridology in Determining Dysfunctionality of Heart Through Deep-Learning, Sruthi, K., Vijayakumar, J., Thavamani, S., 2022, cited in 2022 8th International Conference on Signal Processing and Communication ICSC 2022, pp. 538–543

6. (Retracted) A Review of Image Processing Approaches of the Iridology as A Biomedical, Vresdian, D.J., Hapsari, A.A., Al-Yousif, S., ... Islami, A.Y., Dionova, B.W., 2022, cited in 2022 Fortei International Conference on Electrical Engineering Fortei Icee 2022 Proceeding, pp. 81–86

7. Diagnosis of Diseases Based on Iridology Using Fuzzy Logic, Madhouse, Z., Kayli, A., Himmami, L., 2021, cited in Scientific Journal of King Faisal University, 22(1), pp. 70–76

8. Diabetes and Heart Disease Identification System Using Iris on the Healthcare Kiosk, Kusumaningtyas, E.M., Barakbah, A., Danggriawan, S., 2021, cited in Journal of Physics Conference Series, 012096

9. Iridology based vital organs malfunctioning identification using machine learning techniques, Madhusudhana Rao, T.V., Srinivasa Rao, P., Latha Kalyampudi, P.S., 2020, cited in International Journal of Advanced Science and Technology, 29(5), pp. 5544–5554

10. (Retracted) A Review of Iris Recognition System ROI and Accuracy, Halim, R.A., Wahju Rahardjo Emanuel, A., 2020, cited in Proceeding Icosta 2020 2020 International Conference on Smart Technology and Applications Empowering Industrial Iot by Implementing Green Technology for Sustainable Development, 9079297

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Article 67: Performance and economic analysis of multi-rotor wind turbine

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1. Performance Evaluation of Multiple Wind Turbines Integrated with Buildings, Alaiwi, Y., Al-Khafaji, Z., Jasim, T.A., ... Falah, M., Al-Kafaji, M.R.H., 2025, cited in Cfd Letters, 17(9), pp. 145–162

2. A Review of Multi-Wind Turbine Systems, Design, Cost and Productivity, Alkumet, A.A., Mohammed, M.A., Jadallah, A.A., 2025, cited in Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 129(2), pp. 38–55

3. Control strategies for multi-rotor wind turbines, Matras, F., Dinhoff Pedersen, M., 2025, cited in Wind Energy Science, 10(5), pp. 925–939

4. A novel real-time hybrid testing method for Twin-Rotor Floating Wind Turbines with Single-Point Mooring systems, Liu, G., Jiang, Z., Zhang, H., ... Wen, B., Peng, Z., 2024, cited in Ocean Engineering, 312, 119151

5. Wake flow characteristics of small wind turbine models with single- and double-rotor arrangements: A wind tunnel study, Kumar, R., Siram, O., Saha, U.K., Sahoo, N., 2024, cited in Journal of Renewable and Sustainable Energy, 16(4), 043304

6. A novel wake control strategy for a twin-rotor floating wind turbine: Mitigating wake effect, Zhang, Z., Yang, H., Zhao, Y., ... Tu, J., Chen, M., 2024, cited in Energy, 287, 129619

7. Experimental Study on the Effect of the Blade Tip Distance on the Power and the Wake Recovery with Small Multi-Rotor Wind Turbines, Gong, S., Pan, K., Yang, H., Yang, J., 2023, cited in Journal of Marine Science and Engineering, 11(5), 891

8. Aero-hydro-servo-elastic coupled modeling and dynamics analysis of a four-rotor floating offshore wind turbine, Xie, S., He, J., Zhang, C., ... Ma, J., Zhang, Z., 2023, cited in Ocean Engineering, 272, 113724

9. Experimental study of the wake of multi-rotor turbine, Xiong, X.-L., Laima, S., Li, H., 2023, cited in Ocean Engineering, 269, 113594

10. Aerodynamic Interactions of Wind Lenses at Close Proximities, Gunasekaran, S., Peyton, M., Novotny, N., 2022, cited in Energies, 15(13), 4622

11. Experimental Investigation on the Effect of Lateral Turbine Spacing on Interactions of Wakes, Maus, J., Peinke, J., Hölling, M., 2022, cited in Journal of Physics Conference Series, 2265(4), 042064

12. Structural design methodology for lightweight supporting structure of a multi-rotor wind turbine, Park, H.J., Oh, M.K., Park, S., Yoo, J., 2022, cited in Wind and Structures an International Journal, 34(3), pp. 291–301

13. Design study of multi-rotor and multi-generator wind turbine with lattice tower—a mechatronic approach, Giger, U., Kleinhansl, S., Schulte, H., 2021, cited in Applied Sciences Switzerland, 11(22), 11043

14. Multirotor wind turbine wakes, Bastankhah, M., Abkar, M., 2019, cited in Physics of Fluids, 31(8), 085106

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Article 68: Capacitive Energy Storage (CES) Optimization For Load Frequency Control in Micro Hydro Power Plant Using Imperialist Competitive Algorithm (ICA)

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1. Enhanced frequency control of a hybrid microgrid integrated with EV aggregator using [FOI-(PDN+1)] controller optimized by osprey optimization algorithm, Santra, S., Mondal, S., De, M., 2025, cited in Engineering Research Express, 7(2), 025303

2. Enhancing Load Frequency Control of Renewable Energy based Hybrid Microgrid Integrated with EV Aggregator using Transit Search Optimization, Santra, S., De, M., Kumar, S., 2024, cited in 2024 4th International Conference on Emerging Frontiers in Electrical and Electronic Technologies Icefeet 2024

3. Energy storage systems implementation and photovoltaic output prediction for cost minimization of a Microgrid, Rajamand, S., Shafie-khah, M., Catalão, J.P.S., 2022, cited in Electric Power Systems Research, 202, 107596

4. Comparative Performance Investigation of Genetic Algorithms (GAs), Particle Swarm Optimization (PSO) and Bacteria Foraging Algorithm (BFA) Based Automatic Generation Control (AGC) with Multi Source Power Plants (MSPPs), Hakimuddin, N., Khosla, A., Garg, J.K., 2022, cited in Electric Power Components and Systems, 49(20), pp. 1513–1524

5. Application of Energy Storage-PID for Load Frequency Control in Micro-hydro Using Flower Pollination Algorithm, Ali, M., Djalal, M.R., Arfaah, S., ... Fakhrurozi, M., Hidayat, R., 2021, cited in Icracos 2021 2021 3rd International Conference on Research and Academic Community Services Sustainable Innovation in Research and Community Services for Better Quality of Life Towards Society 5, pp. 281–285

6. SMIB stability enhancement using capacitive energy storage and PID based on ant colony optimization, Yunus, A.M.S., Djalal, M.R., Akil, Y.S., 2020, cited in Iop Conference Series Earth and Environmental Science, 575(1), 012241

7. Optimal power flow using fuzzy-firefly algorithm, Lastomo, D., Widodo, Setiadi, H., 2018, cited in International Conference on Electrical Engineering Computer Science and Informatics Eecsi, 2018-October, pp. 210–215

8. Low-frequency oscillation mitigation usin an optimal coordination of CES and PSS based on BA, Lastomo, D., Setiadi, H., Bangga, G., ... Ashfahani, A., Sabila, A., 2018, cited in International Conference on Electrical Engineering Computer Science and Informatics Eecsi, 2018-October, pp. 216–221

9. Smart frequency control using coordinated RFB and TCPS based on firefly algorithm, Lastomo, D., Musthofa, A., Setiadi, H., Koenhardono, E.S., Djalal, M.R., 2018, cited in International Conference on Electrical Engineering Computer Science and Informatics Eecsi, 2018-October, pp. 260–265

10. Power fluctuation smoothing and loss reduction in grid integrated with thermal-wind-solar-storage units, Hemmati, R., Ghiasi, S.M.S., Entezariharsini, A., 2018, cited in Energy, 152, pp. 759–769

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Article 69: Classification algorithms of maternal risk detection for preeclampsia with hypertension during pregnancy using particle swarm optimization

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1. Maternal Risk Prediction During Pregnancy Through Machine Learning Using Mexican Women’s Data, Hernández-Chávez, R., Grijalva-González, Y.L., Enriquez-Guillen, B.O., ... Sámano-Lira, N.G., Guzman-Pando, A., 2025, cited in Ifmbe Proceedings, 116 IFMBE, pp. 91–100

2. Automated Cardiac Disease Classification from Portable Ultrasound Images Using Deep Learning, Sigit, R., Rokhana, R., Karlita, T., Hidayat, T., 2025, cited in 2025 International Electronics Symposium Ies 2025, pp. 827–833

3. A Novel Hybrid Particle Swarm Optimization with eXtreme Gradient Boosting Methodology in Predicting Preeclampsia, Lakulu, M.M., Rahman, R.T.A., Yuandari, E., 2025, cited in Lecture Notes in Networks and Systems, 1179 LNNS, pp. 455–463

4. Role of Artificial Intelligence in Detection of Congenital Diseases, Kaur, K., Dhir, R., 2025, cited in Computational Techniques for Biological Sequence Analysis, pp. 99–111

5. Proposed model to predict preeclampsia using machine learning approach, Rahman, R.T.A., Lakulu, M.M., Panessai, I.Y., ... Ningsih, F., Tambunan, L.N., 2024, cited in Indonesian Journal of Electrical Engineering and Computer Science, 36(1), pp. 694–702

6. Explainable artificial hydrocarbon networks classifier applied to preeclampsia, Ponce, H., Martínez-Villaseñor, L., Martínez-Velasco, A., 2024, cited in Information Sciences, 670, 120556

7. Preeclampsia Risk Prediction Using Machine Learning Algorithms, Swathikrishna, M.R., Sriram, S., Subha, B., 2024, cited in Lecture Notes in Networks and Systems, 879, pp. 71–80

8. Parameter Optimization Based Mud Ring Algorithm for Improving the Maternal Health Risk Prediction, Desuky, A.S., Hussain, S., Akif Cifci, M., ... Mzoughi, O., Kraiem, N., 2024, cited in IEEE Access, 12, pp. 167245–167261

9. Diagnosis and Detection of Congenital Diseases in New-Borns or Fetuses Using Artificial Intelligence Techniques: A Systematic Review, Kaur, K., Singh, C., Kumar, Y., 2023, cited in Archives of Computational Methods in Engineering, 30(5), pp. 3031–3058

10. Preeclampsia Susceptibility Assessment Based on Deep Learning Modeling and Single Nucleotide Polymorphism Analysis, Saadaty, A., Parhoudeh, S., Khashei Varnamkhasti, K., Moghanibashi, M., Naeimi, S., 2023, cited in Biomedicines, 11(5), 1257

11. Prediction of Preeclampsia Using Machine Learning and Deep Learning Models: A Review, Aljameel, S.S., Alzahrani, M., Almusharraf, R., ... Alabbad, D.A., Alsumayt, A., 2023, cited in Big Data and Cognitive Computing, 7(1), 32

12. Artificial Intelligence in Metabolic Disorders, Saikia, S., Unais, A.K., Athilingam, V.P., ... Padma, V.V., Pathak, Y., 2023, cited in Current Trends in the Diagnosis and Management of Metabolic Disorders, pp. 86–107

13. The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals, Bachmann, N., Tripathi, S., Brunner, M., Jodlbauer, H., 2022, cited in Sustainability Switzerland, 14(5), 2497

14. Face Recognition Using Deep Learning as User Login on Healthcare Kiosk, Aditya, A.T., Sigit, R., Dewantara, B.S.B., 2022, cited in Icitee 2022 Proceedings of the 14th International Conference on Information Technology and Electrical Engineering, pp. 292–297

15. Impact of Feature Selection and Data Augmentation for Pregnancy Risk Detection in Indonesia, Irfan, M., Basuki, S., Azhar, Y., 2022, cited in International Journal on Advanced Science Engineering and Information Technology, 12(6), pp. 2266–2273

16. Risk Assessment of Pregnancy-induced Hypertension Using a Machine Learning Approach, Wanriko, S., Hnoohom, N., Wongpatikaseree, K., Jitpattanakul, A., Musigavong, O., 2021, cited in 2021 Joint 6th International Conference on Digital Arts Media and Technology with 4th Ecti Northern Section Conference on Electrical Electronics Computer and Telecommunication Engineering Ecti Damt and Ncon 2021, pp. 233–237, 9425764

17. Health Assessment Model to Identify and Control Risk Associated with Preeclampsia using IoT, Beri, R., Dubey, M.K., Gehlot, A., Singh, R., 2020, cited in Icrito 2020 IEEE 8th International Conference on Reliability Infocom Technologies and Optimization Trends and Future Directions, pp. 421–425, 9197786

18. Microorganism estimation in a shrimp pond using Gaussian process regressor and gradient tree boosting, Natan, O., Gunawan, A.I., Dewantara, B.S.B., Ispianto, J., 2020, cited in International Journal of Intelligent Engineering and Systems, 13(3), pp. 1–10

19. LSTM with Adam Optimization-Powered High Accuracy Preeclampsia Classification, Sakinah, N., Tahir, M., Badriyah, T., Syarif, I., 2019, cited in Ies 2019 International Electronics Symposium the Role of Techno Intelligence in Creating an Open Energy System Towards Energy Democracy Proceedings, pp. 314–319, 8901536

20. Preeclampsia Classification Modeling Based on Fuzzy Rules, Nugroho, R.D., Gumelar, A.B., Inayati, I., ... Romadhonny, R.A., Setiawan, W.P.A., 2019, cited in Proceedings 2019 International Seminar on Application for Technology of Information and Communication Industry 4 0 Retrospect Prospect and Challenges Isemantic 2019, pp. 145–151, 8884327

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Article 70: Trusted Data Transmission Using Data Scrambling Security Method with Asymmetric Key Algorithm for Synchronization

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1. Quantum Public Key Cryptography, Pandya, D., Solanki, P., Vanzara, R., Sarvakar, K., 2024, cited in Harnessing Quantum Cryptography for Next Generation Security Solutions, pp. 181–213

2. DATA SCRAMBLER KNIGHT TOUR ALGORITHM, Romanuke, V.V., Yaremko, S.A., Kuzmina, O.M., Yehoshyna, H.A., 2024, cited in System Research and Information Technologies, 2024(3), pp. 44–63

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Article 71: Real performance evaluation on mqtt and coap protocol in ubiquitous network robot platform (unrpf) for disaster Multirobot Communication

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1. Measurement and Analysis of Network Data Based on MQTT Protocol, Chen, F., Huang, Y., Zhu, J., ... Sui, Z., Duan, M., 2020, cited in International Conference on Communication Technology Proceedings ICCT, 2020-October, pp. 92–96, 9295944

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Article 72: Stator flux estimator using feed-forward neural network for evaluating hysteresis loss curve in three phase induction motor

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1. The Effect of ANFIS Controller on The Performance of Induction Motor Drives in Low-Speed Operation Based on IFOC, Purwanto, E., Ferdiansyah, I., Nugraha, S.D., Qudsi, O.A., 2021, cited in International Journal on Advanced Science Engineering and Information Technology, 11(2), pp. 440–450

2. Power performance of boundary technique on FOSMC based induction motor drives, Aditya, A.W., Utomo, R.M., Hilmansyah, ... Rusli, M.R., Praharsena, B., 2020, cited in Journal of Physics Conference Series, 1450(1), 012042

3. The Performance of FOSMC and Boundary - SMC in Speed Controller and Current Regulator for IFOC-Based Induction Motor Drive, Wahyu Aditya, A., Rizani Rusli, M., Praharsena, B., ... Cahya Happyanto, D., Sumantri, B., 2018, cited in Proceedings 2018 International Seminar on Application for Technology of Information and Communication Creative Technology for Human Life Isemantic 2018, pp. 139–144, 8549842

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Article 73: Study on Thermoelectric Cooler Driven by Solar Energy in Medan City EMITTER

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1. Review of polygeneration schemes with solar cooling technologies and potential industrial applications, Villarruel-Jaramillo, A., Pérez-García, M., Cardemil, J.M., Escobar, R.A., 2021, cited in Energies, 14(20), 6450

2. The experimental study of thermoelectric cooler performance in Medan city, Lubis, Z., Sitorus, T.B., Ariani, F., Christopel, B., 2020, cited in Iop Conference Series Materials Science and Engineering, 1003(1), 012064

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Article 74: Application of Sliding Mode Control in Indirect Field Oriented Control (IFOC) for Model Based Controller

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1. Defective Multi Inverter on speed sliding neural control of Squirrel Cage Motor, Kheira, M., Amine, A., Yamina, B., 2022, cited in 2022 2nd International Conference on Advanced Electrical Engineering Icaee 2022

2. Performance Analysis of Induction Motor Drive with Hysteresis and PI Current Controllers, Shaija, P.J., Daniel, A.E., 2022, cited in 2022 2nd International Conference on Power Electronics and Iot Applications in Renewable Energy and Its Control Parc 2022

3. Chattering Reduction Using Boundary-SMC on Low-Speed Setting of 3-Phase Induction Motor with IFOC Method, Muntashir, A.A., Purwanto, E., Sumantri, B., 2022, cited in International Review of Automatic Control, 15(1), pp. 1–11

4. Sensorless nonlinear sliding mode control of the induction machine at very low speed using fm-mras observer, Touam, M., Chenafa, M., Chekroun, S., Salim, R., 2021, cited in International Journal of Power Electronics and Drive Systems, 12(4), pp. 1987–1998

5. The Effect of ANFIS Controller on The Performance of Induction Motor Drives in Low-Speed Operation Based on IFOC, Purwanto, E., Ferdiansyah, I., Nugraha, S.D., Qudsi, O.A., 2021, cited in International Journal on Advanced Science Engineering and Information Technology, 11(2), pp. 440–450

6. Static and dynamic performance of vector control on induction motor with PID controller: An investigation on labVIEW, Muntashir, A.A., Purwanto, E., Sumantri, B., Fakhruddin, H.H., Apriyanto, R.A.N., 2021, cited in Automotive Experiences, 4(2), pp. 83–96

7. Boundary–layer effect in robust sliding mode control for indirect field oriented control of 3-phase induction motor, Happyanto, D.C., Aditya, A.W., Sumantri, B., 2020, cited in International Journal on Electrical Engineering and Informatics, 12(2), pp. 188–204

8. Power performance of boundary technique on FOSMC based induction motor drives, Aditya, A.W., Utomo, R.M., Hilmansyah, ... Rusli, M.R., Praharsena, B., 2020, cited in Journal of Physics Conference Series, 1450(1), 012042

9. ANFIS controller of induction machine with switch fault inverter, Mendaz, K., Bendaoud, A., 2019, cited in Eea Electrotehnica Electronica Automatica, 67(1), pp. 35–45

10. The Performance of FOSMC and Boundary - SMC in Speed Controller and Current Regulator for IFOC-Based Induction Motor Drive, Wahyu Aditya, A., Rizani Rusli, M., Praharsena, B., ... Cahya Happyanto, D., Sumantri, B., 2018, cited in Proceedings 2018 International Seminar on Application for Technology of Information and Communication Creative Technology for Human Life Isemantic 2018, pp. 139–144, 8549842

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Article 75: Application of artificial neural networks in modeling direction wheelchairs using neurosky mindset mobile (EEG) device

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1. DMAE-EEG: A Pretraining Framework for EEG Spatiotemporal Representation Learning, Zhang, Y., Yu, Y., Li, H., ... Zeng, L.-L., Hu, D., 2025, cited in IEEE Transactions on Neural Networks and Learning Systems, 36(10), pp. 17664–17678

2. Semi-supervised multi-source transfer learning for cross-subject EEG motor imagery classification, Zhang, F., Wu, H., Guo, Y., 2024, cited in Medical and Biological Engineering and Computing, 62(6), pp. 1655–1672

3. Combining Mindwave, MPU6050, internet of things for reliable safe monitored wheelchair control system, Artanto, D., Pranowo, I.D., Wicaksono, M.B., Siswoyo, A., 2023, cited in Indonesian Journal of Electrical Engineering and Computer Science, 32(2), pp. 742–751

4. Unsupervised Domain Adaptation by Causal Learning for Biometric Signal-based HCI, Dai, Q., Wong, Y., Sun, G., ... Li, X., Geng, W., 2023, cited in ACM Transactions on Multimedia Computing Communications and Applications, 20(2), 49

5. Imagined Speech Classification Using EEG and Deep Learning, Abdulghani, M.M., Walters, W.L., Abed, K.H., 2023, cited in Bioengineering, 10(6), 649

6. Electroencephalography Signal Analysis for Human Activities Classification: A Solution Based on Machine Learning and Motor Imagery, de Brito Guerra, T.C., Nóbrega, T., Morya, E., de M. Martins, A., de Sousa, V.A., 2023, cited in Sensors, 23(9), 4277

7. Gaze Tracking Control System for Wheelchair and Smart Home Automation, Ch Vidyasagar, K.E., Srimanth Raj, M., Mahreeen, S., Saikia, M.J., 2023, cited in 2023 IEEE 19th International Conference on Body Sensor Networks Bsn 2023 Proceedings

8. Application of the MQTT Protocol for the Control of a Scorbot Robot by Means of EGG Electroencephalographic Signals, Salazar, F., Guamán-Molina, J., Saltos, C., Cunalata, W., Fernández-S, A., 2023, cited in Lecture Notes in Networks and Systems, 678 LNNS, pp. 390–411

9. Subject adaptation convolutional neural network for EEG-based motor imagery classification, Liu, S., Zhang, J., Wang, A., ... Zhao, Q., Long, J., 2022, cited in Journal of Neural Engineering, 19(6), 066003

10. Human–Machine Interfaces Based on Bioelectric Signals: A Narrative Review with a Novel System Proposal, Hayashi, H., Tsuji, T., 2022, cited in Ieej Transactions on Electrical and Electronic Engineering, 17(11), pp. 1536–1544

11. IoHT-based deep learning controlled robot vehicle for paralyzed patients of smart cities, Calp, M.H., Butuner, R., Kose, U., Alamri, A., Camacho, D., 2022, cited in Journal of Supercomputing, 78(9), pp. 11373–11408

12. EEG Classifier Using Wavelet Scattering Transform-Based Features and Deep Learning for Wheelchair Steering, Abdulghani, M.M., Walters, W.L., Abed, K.H., 2022, cited in Proceedings 2022 International Conference on Computational Science and Computational Intelligence Csci 2022, pp. 401–405

13. Mind Wave Controlled Assistive Robot, Ravirahul, B.M., Balaji, V.R., Ram Balaji, K.A., Gowtham, S., Surya, S., 2021, cited in 2021 7th International Conference on Advanced Computing and Communication Systems Icaccs 2021, pp. 1507–1509, 9441684

14. Design and Implementation of Hybrid BCI based Wheelchair, Chawda, P., Sridhar, A., Mishra, A.G., ... Kambli, M., Kadge, S., 2021, cited in Proceedings 2nd International Conference on Smart Electronics and Communication Icosec 2021, pp. 557–565

15. Classification Analysis of Tensor-Based Recovered Missing EEG Data, Akmal, M., Zubair, S., Alquhayz, H., 2021, cited in IEEE Access, 9, pp. 41745–41756, 9367236

16. EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications, Gu, X., Cao, Z., Jolfaei, A., ... Jung, T.-P., Lin, C.-T., 2021, cited in IEEE ACM Transactions on Computational Biology and Bioinformatics, 18(5), pp. 1645–1666

17. Arduino based mobile robot controlled by voluntary eye-blinks using LabVIEW GUI & NeuroSky Mindwave Mobile Headset, Ruşanu, O.A., Cristea, L., Luculescu, M.C., 2020, cited in Iop Conference Series Materials Science and Engineering, 997(1), 012059

18. Electroencephalography (EEG) technology applications and available devices, Soufineyestani, M., Dowling, D., Khan, A., 2020, cited in Applied Sciences Switzerland, 10(21), pp. 1–23, 7453

19. Wheelchair neuro fuzzy control using brain computer interface, Al-Aubidy, K.M., Abdulghani, M.M., 2019, cited in Proceedings International Conference on Developments in Esystems Engineering Dese, October-2019, pp. 640–645, 9073003

20. Ex vivo biosignatures, Khalili Moghaddam, G., Lowe, C.R., 2019, cited in Springerbriefs in Applied Sciences and Technology, pp. 51–104

21. Multi-factor authentication: A survey, Ometov, A., Bezzateev, S., Mäkitalo, N., ... Mikkonen, T., Koucheryavy, Y., 2018, cited in Cryptography, 2(1), pp. 1–31, 1

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Article 76: Dynamic Sleep Scheduling on Air Pollution Levels Monitoring with Wireless Sensor Network

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1. Implementation of Fuzzy Tsukamoto Algorithm on Smart Node Sensors for Air Quality Monitoring, Istiqomah, N., Yuliana, M., Santoso, T.B., 2021, cited in International Electronics Symposium 2021 Wireless Technologies and Intelligent Systems for Better Human Lives Ies 2021 Proceedings, pp. 275–280

2. Near-optimal energy-aware approach through INSTANT-OFF and NEVER-OFF clustering by fuzzy logic for wireless sensor networks, Hussain, A., Munawar, S., Naveed, N., 2021, cited in Journal of Intelligent and Fuzzy Systems, 41(1), pp. 83–98

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Article 78: Moment invariant features extraction for hand gesture recognition of sign language based on sibi

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1. Forensic identification system using dental panoramic radiograph, Permata, N.A., Setiawardhana, Sigit, R., 2017, cited in Proceedings International Electronics Symposium on Knowledge Creation and Intelligent Computing Ies Kcic 2017, 2017-January, pp. 281–287

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Article 79: Reduction of Total Harmonic Distortion (THD) on Multilevel Inverter with Modified PWM using Genetic Algorit

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1. A SPWM Controlled Input in Dual Buck DC-DC Converter - Full Bridge for Single-Phase Five-Level Inverter, Reza Muhammad Rizki, F., Riyadi, S., Heru Pratomo, L., 2020, cited in Journal of Physics Conference Series, 1444(1), 012031

2. Design and Implementation of Diode Clamp five-level Inverter Topology based on the modified SPWM method, Yoga Permana, N., Riyadi, S., 2020, cited in Journal of Physics Conference Series, 1444(1), 012019

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Article 80: Data Mining Approach for Breast Cancer Patient Recovery

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1. AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions, Habchi, Y., Himeur, Y., Kheddar, H., ... Ouamane, A., Mansoor, W., 2023, cited in Systems, 11(10), 519

2. Gestation Risk Prediction Based on Feature Extraction and Neural Networks, Rajkumar, E., Geetha, V., Sekar, G.S., 2021, cited in Intelligent Interactive Multimedia Systems for E Healthcare Applications, pp. 105–124

3. Predicting breast cancer via supervised machine learning methods on class imbalanced data, Rajendran, K., Jayabalan, M., Thiruchelvam, V., 2020, cited in International Journal of Advanced Computer Science and Applications, 11(8), pp. 54–63

4. Utilization of Filter Feature Selection with Support Vector Machine for Tumours Classification, Tengku Mazlin, T.A.H., Sallehuddin, R., Zuriahati, M.Y., 2019, cited in Iop Conference Series Materials Science and Engineering, 551(1), 012062

5. Ensamble based multi filters algorithm for tumor classification in high dimensional microarray dataset, Hamid, T.M.T.A., Sallehuddin, R., Yunos, Z.M., Ali, A., 2019, cited in International Journal of Advanced Trends in Computer Science and Engineering, 8(1.6 Special Issue), pp. 116–123, 18

6. Discovering patterns of NED-breast cancer based on association rules using apriori and FP-growth, Fahrudin, T.M., Syarif, I., Barakbah, A.R., 2017, cited in Proceedings International Electronics Symposium on Knowledge Creation and Intelligent Computing Ies Kcic 2017, 2017-January, pp. 132–139

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Article 81: Semantic madurese batik search with cultural computing of symbolic impression extraction and analytical aggregation of color, shape and area features

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1. The beneficial effect of Aloe vera in skin barrier function improvement: A double-blind randomized trial of Madurese batik craftswomen, Umborowati, M.A., Anggraeni, S., Damayanti, Prakoeswa, C.R.S., 2022, cited in Journal of Pakistan Association of Dermatologists, 32(1), pp. 142–147

2. Image Search System for Indonesian Cultural Paintings with Impression Context Recognition, Prana Arief, G.P., Barakbah, A., Basuki, A., 2020, cited in Ies 2020 International Electronics Symposium the Role of Autonomous and Intelligent Systems for Human Life and Comfort, pp. 606–612, 9231730

3. Research progress of fabric image feature extraction and retrieval based on convolutional neural network | 基于卷积神经网络的织物图像特征提取与检索研究进展, Sun, J., Ding, X., Du, L., Li, Q., Zou, F., 2019, cited in Fangzhi Xuebao Journal of Textile Research, 40(12), pp. 146–151

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Article 82: A similarity-ranking method on semantic computing for providing information-services in Station-Concierge System

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2. A correlation computing method for integrating passengers and services in semantic anticipation, Yokoyama, M., Kiyoki, Y., Mita, T., 2019, cited in Frontiers in Artificial Intelligence and Applications, 312, pp. 435–448

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Article 83: Fuzzy gain scheduling of PID (FGS-PID) for speed control three phase induction motor based on indirect field oriented control (IFOC)

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1. Robustness and high performances of sensorless induction motor with combined backstepping command and high order sliding mode control, Halimi, H., Elgarouaz, M., Lazrak, L., El Daoudi, S., 2025, cited in International Journal of Dynamics and Control, 13(2), 75

2. Enhancement Fractional-Order Sliding Mode Controller Design for Induction Motor Vector Control, Dursun, M., 2023, cited in Iranian Journal of Science and Technology Transactions of Electrical Engineering, 47(3), pp. 1059–1080

3. Modeling of a brushless dc motor driven electric vehicle and its pid-fuzzy control with dSPACE, Bahadir, A., Aydoğdu, Ö., 2023, cited in Sigma Journal of Engineering and Natural Sciences, 41(1), pp. 156–177

4. An Effective Approach of Speed Estimation Using Position Detector on Six Step Inverter for Trapezoidal PMSM Drive, Prabowo, G., Ferdiansyah, I., Purwanto, E., Budiono, M., 2022, cited in Proceedings Ieit 2022 2022 International Conference on Electrical and Information Technology, pp. 260–266

5. PSO Algorithm for Three Phase Induction Motor with V/F Speed Control, Mirdas, Q.H., Yasin, N.M., Alshamaa, N.K., 2022, cited in Icoase 2022 4th International Conference on Advanced Science and Engineering, pp. 166–171

6. Speed Control of Smart Induction Motor using Model Predictive Direct Torque Control and Fuzzy Gain Scheduling, Govind, T., Sampath Kumar, S., 2022, cited in 3rd International Conference on Smart Electronics and Communication Icosec 2022 Proceedings, pp. 8–13

7. Voltage Booster for Optimizing Scalar Control Methods on Single Passenger Electric Vehicles, Ramadhan, N.S., Ferdiansyah, I., Purwanto, E., 2022, cited in 2022 5th International Conference on Vocational Education and Electrical Engineering the Future of Electrical Engineering Informatics and Educational Technology Through the Freedom of Study in the Post Pandemic Era Icvee 2022 Proceeding, pp. 174–177

8. Interfacing PCI 1710 and Real-Time Windows Target for Induction Motor Speed Control Based on Vector Control Designed by Variable Flux Reference, Ferdiansyah, I., Purwanto, E., Prabowo, G., ... Rusli, M.R., Irawan, R., 2022, cited in Iceecit 2022 Proceedings 2022 International Conference on Electrical Engineering Computer and Information Technology, pp. 113–117

9. Chattering Reduction Using Boundary-SMC on Low-Speed Setting of 3-Phase Induction Motor with IFOC Method, Muntashir, A.A., Purwanto, E., Sumantri, B., 2022, cited in International Review of Automatic Control, 15(1), pp. 1–11

10. Mitigation of harmonics and inter-harmonics with LVRT and HVRT enhancement in grid-connected wind energy systems using genetic algorithm- optimized PWM and fuzzy adaptive PID control, Mostefa, A., Boulouiha, H.M., Allali, A., Denai, M., 2021, cited in Journal of Renewable and Sustainable Energy, 13(2), 026302

11. Experimental simplified rule of self tuning fuzzy logic-model reference adaptive speed controller for induction motor drive, Ismail, M.Z., Talib, M.H.N., Ibrahim, Z., Mat Lazi, J., Rasin, Z., 2020, cited in Indonesian Journal of Electrical Engineering and Computer Science, 20(3), pp. 1653–1664

12. Boundary–layer effect in robust sliding mode control for indirect field oriented control of 3-phase induction motor, Happyanto, D.C., Aditya, A.W., Sumantri, B., 2020, cited in International Journal on Electrical Engineering and Informatics, 12(2), pp. 188–204

13. Power performance of boundary technique on FOSMC based induction motor drives, Aditya, A.W., Utomo, R.M., Hilmansyah, ... Rusli, M.R., Praharsena, B., 2020, cited in Journal of Physics Conference Series, 1450(1), 012042

14. Applying hybrid genetic–PSO technique for tuning an adaptive PID controller used in a chemical process, El-Gendy, E.M., Saafan, M.M., Elksas, M.S., Saraya, S.F., Areed, F.F.G., 2020, cited in Soft Computing, 24(5), pp. 3455–3474

15. Flexible Controller Design for DC Motor Speed Control | DA Motor Hiz Kontrolö için Esnek Kontrolör Tasarimi, Gul, V., Sahin, S., 2019, cited in Proceedings 2019 Innovations in Intelligent Systems and Applications Conference Asyu 2019, 8946391

16. New Suggested Model Reference Adaptive Controller for the Divided Wall Distillation Column, El-Gendy, E.M., Saafan, M.M., Elksas, M.S., Saraya, S.F., Areed, F.F.G., 2019, cited in Industrial and Engineering Chemistry Research, 58(17), pp. 7247–7264

17. The Performance of FOSMC and Boundary - SMC in Speed Controller and Current Regulator for IFOC-Based Induction Motor Drive, Wahyu Aditya, A., Rizani Rusli, M., Praharsena, B., ... Cahya Happyanto, D., Sumantri, B., 2018, cited in Proceedings 2018 International Seminar on Application for Technology of Information and Communication Creative Technology for Human Life Isemantic 2018, pp. 139–144, 8549842

18. On comparison of effectiveness of neural tuner based adaptive control system and observer based controller to solve heating plant control problem, Eremenko, Y.I., Glushchenko, A.I., Fomin, A.V., Petrov, V.A., 2018, cited in Proceedings of the International Conference on Inventive Computing and Informatics Icici 2017, pp. 135–138

19. Design of PID-fuzzy for speed control of brushless DC motor in dynamic electric vehicle to improve steady-state performance, Jaya, A., Purwanto, E., Fauziah, M.B., ... Prabowo, G., Rusli, M.R., 2017, cited in Proceedings Ies Eta 2017 International Electronics Symposium on Engineering Technology and Applications, 2017-December, pp. 179–184

20. Experimental investigation on scaling factor of fuzzy logic speed control for induction motor drives, Isa, S.N.M., Azri, M., Ibrahim, Z., ... Khanipah, N.H.A., Rahim, N.A., 2017, cited in Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics Sustainable Society Through Digital Innovation Iceei 2017, 2017-November, pp. 1–6

21. Applying a neural tuner of the PI-controller parameters to control gas heating furnaces, Eremenko, Y., Glushchenko, A., Fomin, A., 2017, cited in Eastern European Journal of Enterprise Technologies, 6(2-90), pp. 32–37

22. Robustness enhancement of MRAC using modification techniques for speed control of three phase induction motor, Humaidi, A.J., Hameed, A.H., 2017, cited in Journal of Electrical Systems, 13(4), pp. 723–741

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Article 84: Covert communication in MIMO-OFDM system using pseudo random location of fake subcarriers

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1. LoPhy: A Resilient and Fast Covert Channel Over LoRa PHY, Liu, B., Gu, C., He, S., Chen, J., 2024, cited in IEEE ACM Transactions on Networking, 32(5), pp. 3792–3807

2. Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections, Sankhe, K., Chowdhury, K., Restuccia, F., ... Melodia, T., Ioannidis, S., 2019, cited in Proceedings IEEE Military Communications Conference MILCOM, 2019-November, 9021079

3. Shadow Wi-Fi: Teaching smartphones to transmit raw signals and to extract channel state information to implement practical covert channels over Wi-Fi, Schulz, M., Gringoli, F., Link, J., Hollick, M., 2018, cited in Mobisys 2018 Proceedings of the 16th ACM International Conference on Mobile Systems Applications and Services, pp. 256–268

4. Confidential data transmission using subcarrier randomization with RSA algorithm for synchronization on MIMO-OFDM system, Sa'adah, N., Astawa, I.G.P., Sudarsono, A., 2018, cited in International Journal on Advanced Science Engineering and Information Technology, 8(2), pp. 628–638

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Article 85: Comparison of The Data-Mining Methods in Predicting The Risk Level of Diabetes

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1. Explainable and Optimized Machine Learning Models for Diabetes Prediction, Badriyah, T., Wicaksono, A.P., Amalo, E.A., 2025, cited in 2025 International Electronics Symposium Ies 2025, pp. 808–813

2. A Comprehensive Framework for Cold Start Problem in Hybrid Recommendation Systems Extending the Efficient Multi-Mode Approach, Badriyah, T., Ramadhan, Y.G., Syarif, I., 2023, cited in 27th International Computer Science and Engineering Conference 2023 Icsec 2023, pp. 382–391

3. Gestation Risk Prediction Based on Feature Extraction and Neural Networks, Rajkumar, E., Geetha, V., Sekar, G.S., 2021, cited in Intelligent Interactive Multimedia Systems for E Healthcare Applications, pp. 105–124

4. Predicting the Risk of Preeclampsia with History of Hypertension Using Logistic Regression and Naive Bayes, Badriyah, T., Tahrir, M., Syarif, I., 2018, cited in Proceedings 2018 International Conference on Applied Science and Technology Icast 2018, pp. 399–403, 8751588

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Article 86: Sistem prediksi demam berdarah menggunakan metode monte carlo

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1. A comparison of Montecarlo linear and dynamic polynomial regression in predicting dengue fever case, Roziqin, M.C., Basuki, A., Harsono, T., 2016, cited in 2016 International Conference on Knowledge Creation and Intelligent Computing Kcic 2016, pp. 213–218, 7883649

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Article 87: Development of Healthcare Kiosk for Checking Heart Health

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1. Face recognition for Logging in Using Deep Learning for Liveness Detection on Healthcare Kiosks, Ryando, C., Sigit, R., Setiawardhana, Dewantara, B.S.B., 2025, cited in International Journal on Informatics Visualization, 9(1), pp. 295–302

2. Segmentation of tumor for 3D Brain MR Images Using FBB, Goutham, V., Naveen, B., Lakshmi, D.L., 2024, cited in 2nd IEEE International Conference on Advances in Information Technology Icait 2024 Proceedings

3. Integration of image processing and IoT for enhanced patient health checking: A case study, Manivannan, R., Pragathi, Y.V.S.S., Kanike, U.K., 2023, cited in Handbook of Research on Thrust Technologies Effect on Image Processing, pp. 364–383

4. Brain tumor segmentation of the FLAIR MRI images using novel ResUnet, Santosh Kumar, P., Sakthivel, V.P., Raju, M., Satya, P.D., 2023, cited in Biomedical Signal Processing and Control, 82, 104586

5. Epidemic Healthcare Kiosk: A Social Economic Remote Solution Using IoT, Jagannath, D.J., Dolly, D.R.J., Peter, J.D., 2022, cited in International Journal of E Health and Medical Communications, 13(5)

6. Implementation of Illumination Invariant Face Recognition for Accessing User Record in Healthcare Kiosk, Firmanda, M.R., Sena Bayu Dewantara, B., Sigit, R., 2020, cited in Ies 2020 International Electronics Symposium the Role of Autonomous and Intelligent Systems for Human Life and Comfort, pp. 371–376, 9231644

7. Brain tumor segmentation to calculate percentage tumor using MRI, Wulandari, A., Sigit, R., Bachtiar, M.M., 2018, cited in International Electronics Symposium on Knowledge Creation and Intelligent Computing Ies Kcic 2018 Proceedings, pp. 292–296, 8628591

8. Automatic lung cancer detection using color histogram calculation, Wulandari, R., Sigit, R., Wardhana, S., 2017, cited in Proceedings International Electronics Symposium on Knowledge Creation and Intelligent Computing Ies Kcic 2017, 2017-January, pp. 120–126

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Article 88: Performance analysis of circular 8-QAM constellation with MMSE equalizer for OFDM system using USRP

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1. Design and Implementation of an Advanced Digital Communication System Based on SDR, Al-Saegh, S.W., Ahmed, M.A., Al-Zubaidy, M.A., Al-Qazzaz, A.B., 2025, cited in International Journal of Computing and Digital Systems, 17(1)

2. Handoff strategies between wireless fidelity to light fidelity systems for improving video streaming in high-speed vehicular networks, Valiveti, H.B., Kumar, B.A., 2021, cited in International Journal of Communication Systems, 34(6), e4285

3. Performance analysis of circular 16-QAM constellation for single carrier-frequency division multiple access systems, Sana, A.M., Hussein, Q.M., Hameed, M.A., Saeed, A.T., 2019, cited in Journal of Computational and Theoretical Nanoscience, 16(3), pp. 1019–1022

4. The effect of strategic management and organizational commitment on employees’ work achievement, Rustamadji, Omar, C.M.Z.B.C., 2019, cited in Management Science Letters, 9(3), pp. 399–412

5. Implementing directional Tx-Rx of high modulation QAM signaling with SDR testbed, Shaha, A., Nguyen, D.H.N., Kumar, S., 2017, cited in 2017 IEEE 8th Annual Ubiquitous Computing Electronics and Mobile Communication Conference Uemcon 2017, 2018-January, pp. 484–490

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Article 89: Traffic Analysis of Quality of Service (QoS) for Video Conferencing between Main Campus and Sub Campus in Laboratory Scale

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1. Impact of different quality of service mechanisms on students' quality of experience in videoconferencing learning environment, Malinovski, T., Trajkovik, V., Vasileva-Stojanovska, T., 2018, cited in Turkish Online Journal of Distance Education, 19(3), pp. 24–37

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Article 90: Covert communication in MIMO-OFDM system using pseudo random location of fake subcarriers

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1. Asymmetric cryptography for synchronization on MIMO-OFDM system, Sa'Adah, N., Astawa, I.G.P., Sudarsono, A., 2017, cited in Proceedings Ies Eta 2017 International Electronics Symposium on Engineering Technology and Applications, 2017-December, pp. 57–62

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Article 91: Adaptive sleep scheduling for health monitoring system based on the IEEE 802.14.3 standard

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1. Prototype of early fire detection system for home monitoring based on Wireless Sensor Network, Saputra, F.A., Rasyid, M.U.H.A., Abiantoro, B.A., 2017, cited in Proceedings Ies Eta 2017 International Electronics Symposium on Engineering Technology and Applications, 2017-December, pp. 39–44

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Article 92: Review of A∗ (A Star) Navigation Mesh Pathfinding as the Alternative of Artificial Intelligent for Ghosts Agent on the Pacman Game

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1. Modelling and simulation of assisted hospital evacuation using fuzzy-reinforcement learning based modelling approach, Abir, I.M., Mohd Ibrahim, A., Toha, S.F., Mohd Romlay, M.R., 2024, cited in Neural Computing and Applications, 36(11), pp. 6165–6194

2. Artificial intelligence pathfinding based on Unreal Engine 5 hexagonal grid map, Xing, H., Chai, M., Song, Y., 2024, cited in 2024 4th International Conference on Neural Networks Information and Communication Engineering Nnice 2024, pp. 1708–1711

3. Investigating NPC Path Finding Behaviors with Navigation Mesh and Grid Map Techniques, Al-qerem, A., Ali, A.M., Izneid, B.A., 2024, cited in Studies in Systems Decision and Control, 528, pp. 675–688

4. Adaptive Learning in Mobile Serious Games: A Personalized Approach Using AI for General Knowledge Quizzes, Tselepatiotis, M., Alepis, E., 2024, cited in 15th International Conference on Information Intelligence Systems and Applications Iisa 2024

5. Exploring the Maze: A Comparative Study of Path Finding Algorithms for PAC-Man Game, Salem, N., Haneya, H., Balbaid, H., Asrar, M., 2024, cited in 21st International Learning and Technology Conference Reality and Science Fiction in Education L and T 2024, pp. 92–97

6. A Systematic Review and Analysis of Intelligence-Based Pathfinding Algorithms in the Field of Video Games, Lawande, S.R., Jasmine, G., Anbarasi, J., Izhar, L.I., 2022, cited in Applied Sciences Switzerland, 12(11), 5499

7. Motion planning of a steam generator mobile tube-inspection robot, Xu, B., Li, G., Zhang, K., ... Zhao, J., Fan, J., 2022, cited in Nuclear Engineering and Technology, 54(4), pp. 1374–1381

8. Tsunami evacuation Geographic Information System (GIS) education as disaster mitigation, Sularno, Mulya, D.P., Astri, R., 2021, cited in Iop Conference Series Earth and Environmental Science, 708(1), 012004

9. Catch me if you can: A pursuit-evasion game with intelligent agents in the Unity 3D game environment, Sahin, I., Kumbasar, T., 2020, cited in 2020 International Conference on Electrical Engineering Icee 2020, 9249828

10. The Use of Agent-Based Models As Non-Player Characters in Serious Games, Babichenko, D., Healy, P., Gomez, M., ... Cohen, P., Patel, R., 2020, cited in 2020 IEEE 8th International Conference on Serious Games and Applications for Health Segah 2020, 9201889

11. Pathfinding Algorithms in Game Development, Rafiq, A., Asmawaty Abdul Kadir, T., Normaziah Ihsan, S., 2020, cited in Iop Conference Series Materials Science and Engineering, 769(1), 012021

12. How much information does a robot need? Exploring the benefits of increased sensory range in a simulated crowd navigation task, Hagens, M., Thill, S., 2020, cited in Information Switzerland, 11(2), 112

13. Feasible NPC Hiding Behaviour using Goal Oriented Action Planning in case of Hide-and-Seek 3D Game Simulation, Suyikno, D.A., Setiawan, A., 2019, cited in Proceedings of 2019 4th International Conference on Informatics and Computing Icic 2019, 8985962

14. Study on evacuation simulation under crowd-diversion condition, Chiu, Y.-P., Shiau, Y.-C., Lai, Y.-H., 2018, cited in Advances in Mechanical Engineering, 10(7)

15. Implementation of a* algorithm within navigation mesh in an artificial intelligence based video games, Subrando, T., Prasetyatama, F.A., Fitrianah, D., 2018, cited in International Journal of Engineering and Technology Uae, 7(4), pp. 3249–3254

16. The shortest path from shortest distance on a polygon mesh, Choi, J., Zhang, B., Oh, K., 2017, cited in Journal of Theoretical and Applied Information Technology, 95(18), pp. 4446–4454

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Article 93: Secure Communication and Information Exchange using Authenticated Ciphertext Policy Attribute-Based Encryption in Mobile Ad-hoc Network

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1. Performance Analysis of ELiPS-Based CP-ABE with Optimized Decryption Functions, Anh, L.H., Kawada, Y., Huda, S., Kodera, Y., Nogami, Y., 2024, cited in Smart Innovation Systems and Technologies, 404 SIST, pp. 345–354

2. An implementation of ELiPS-based Ciphertext-Policy Attribute-Based Encryption, Anh, L.H., Kawada, Y., Huda, S., ... Kodera, Y., Nogami, Y., 2023, cited in Proceedings 2023 11th International Symposium on Computing and Networking Workshops Candarw 2023, pp. 220–226

3. An Implementation Environmental Monitoring Real-time IoT Technology, Fahmi, N., Prayitno, E., Musri, T., Supria, S., Ananda, F., 2022, cited in International Conference on Electrical Computer and Energy Technologies Icecet 2022

4. An implentation of IoT for environmental monitoring and its analysis using k-NN algorithm, Prayitno, E., Fahmi, N., Al Rasyid, M.U.H., Sudarsono, A., 2021, cited in Telkomnika Telecommunication Computing Electronics and Control, 19(6), pp. 1811–1819

5. Secure data exchange using Authenticated Attribute-based encdryption with Revocation for environmental monitoring, Munsyi, Sudarsono, A., Al Rasyid, M.U.H., 2018, cited in International Journal on Advanced Science Engineering and Information Technology, 8(5), pp. 1948–1955

6. Secure data sensor in environmental monitoring system using attribute-based encryption with revocation, Munsyi, Sudarsono, A., Al Rasyid, M.U.H., 2017, cited in International Journal on Advanced Science Engineering and Information Technology, 7(2), pp. 609–624

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Article 94: Remo dance motion estimation with markerless motion capture using the optical flow method

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1. Improved ejection fraction measurement on cardiac image using optical flow, Pratiwi, A.A., Sigit, R., Basuki, D.K., Oktaviono, Y.H., 2017, cited in Proceedings International Electronics Symposium on Knowledge Creation and Intelligent Computing Ies Kcic 2017, 2017-January, pp. 295–300

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Article 96: Adaptive sleep scheduling for health monitoring system based on the ieee 802.15.4 Standard

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1. An Implementation Environmental Monitoring Real-time IoT Technology, Fahmi, N., Prayitno, E., Musri, T., Supria, S., Ananda, F., 2022, cited in International Conference on Electrical Computer and Energy Technologies Icecet 2022

2. An implentation of IoT for environmental monitoring and its analysis using k-NN algorithm, Prayitno, E., Fahmi, N., Al Rasyid, M.U.H., Sudarsono, A., 2021, cited in Telkomnika Telecommunication Computing Electronics and Control, 19(6), pp. 1811–1819

3. Secure Data Exchange Based on Wireless Sensor Network for Environmental Monitoring Using Dynamical Attributed Based Encryption, Munsyi, Sudarsono, A., Rasyid, M.U.H.A., 2021, cited in International Journal on Advanced Science Engineering and Information Technology, 11(4), pp. 1306–1315

4. Merging of IoT and WSN for Real-Time Air Condition Monitoring Systems Towards Medan Smart City, Amelia, A., Fahmi, N., Roslina, ... Sirait, R., Zumhari, 2020, cited in Journal of Physics Conference Series, 1501(1), 012005

5. MQTT protocol implementation for monitoring of environmental based on IoT, Amelia, A., Roslina, Fahmi, N., ... Hutauruk, I.S., Arief, A., 2020, cited in 3rd International Conference on Applied Science and Technology Icast 2020, pp. 700–703

6. Implementation of environmental monitoring based on kaa iot platform, Al Rasyid, M.U.H., Mubarrok, M.H., Hasim, J.A.N., 2020, cited in Bulletin of Electrical Engineering and Informatics, 9(6), pp. 2578–2587

7. Multimedia internet of things: A comprehensive survey, Nauman, A., Qadri, Y.A., Amjad, M., ... Afzal, M.K., Kim, S.W., 2020, cited in IEEE Access, 8, pp. 8202–8250, 8950450

8. Mobile Application for Noise Measurement based on Wireless Sensor Network, Fahmi, N., Amirullah, D., Ekoprayitno, Afriani, Y., 2019, cited in Icecos 2019 3rd International Conference on Electrical Engineering and Computer Science Proceeding, pp. 254–257, 8984457

9. Water Leak Detection and Shut-Off System on Water Distribution Pipe Network Using Wireless Sensor Network, Perdana, R.H.Y., Hudiono, H., Luqmani, A.F.N., 2019, cited in 2019 International Conference on Advanced Mechatronics Intelligent Manufacture and Industrial Automation Icamimia 2019 Proceeding, pp. 297–301, 9223386

10. Smart Environment: Accuracy of a server side model in design topology WSN and IoT, Ekoprayitno, Fahmi, N., Harun Al Rasyid, M.U., Sudarsono, A., 2019, cited in Ies 2019 International Electronics Symposium the Role of Techno Intelligence in Creating an Open Energy System Towards Energy Democracy Proceedings, pp. 668–671, 8901553

11. Real-Time Monitoring for Environmental Through Wireless Sensor Network Technology, Hudhajanto, R.P., Fahmi, N., Prayitno, E., Rosmida, 2018, cited in Proceedings of the 2018 International Conference on Applied Engineering Icae 2018, 8579377

12. Real-time monitoring and automated control of greenhouse using wireless sensor network: Design and implementation, Puspitasari, W., Perdana, H.Y.R., 2018, cited in 2018 International Seminar on Research of Information Technology and Intelligent Systems Isriti 2018, pp. 362–366, 8864377

13. An implementation of data exchange in environmental monitoring using authenticated attribute-based encryption with revocation, Munsyi, Sudarsono, A., Harun Al Rasvid, M.U., 2018, cited in International Electronics Symposium on Knowledge Creation and Intelligent Computing Ies Kcic 2018 Proceedings, pp. 359–366, 8628487

14. Secure data exchange using Authenticated Attribute-based encdryption with Revocation for environmental monitoring, Munsyi, Sudarsono, A., Al Rasyid, M.U.H., 2018, cited in International Journal on Advanced Science Engineering and Information Technology, 8(5), pp. 1948–1955

15. An implementation of data exchange using authenticated attribute-based encryption for environmental monitoring, Munsyi, Sudarsono, A., Rasyid, M.U.H.A., 2017, cited in Proceedings International Electronics Symposium on Knowledge Creation and Intelligent Computing Ies Kcic 2017, 2017-January, pp. 59–64

16. A prototype of monitoring precision agriculture system based on WSN, Fahmi, N., Huda, S., Prayitno, E., ... Roziqin, M.C., Pamenang, M.U., 2017, cited in 2017 International Seminar on Intelligent Technology and Its Application Strengthening the Link Between University Research and Industry to Support Asean Energy Sector Isitia 2017 Proceeding, 2017-January, pp. 323–328

17. Secure data sensor in environmental monitoring system using attribute-based encryption with revocation, Munsyi, Sudarsono, A., Al Rasyid, M.U.H., 2017, cited in International Journal on Advanced Science Engineering and Information Technology, 7(2), pp. 609–624

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Article 97: An Implementation of Error Minimization Data Transmission in OFDM using Modified Convolutional Code

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1. A Wireless Tire Pressure and Temperature Monitoring System Based on Software Defined Radio, Briantoro, H., Farouq, A.A., Montolalu, B., Effendy, M.N., Huda, A.N., 2023, cited in Proceeding Comnetsat 2023 IEEE International Conference on Communication Networks and Satellite, pp. 27–32

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Article 98: Feature selection of network intrusion data using genetic algorithm and particle swarm optimization

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1. Hybrid evolutionary machine learning model for advanced intrusion detection architecture for cyber threat identification, Sharma, A., Rani, S., Driss, M., 2024, cited in Plos One, 19(9 September), e0308206

2. Enhancing Network Intrusion Detection System Using NDAE With Xgboost, Itodo, Y.J., Nti, I.K., 2024, cited in 2024 2nd International Conference on Artificial Intelligence Blockchain and Internet of Things Aibthings 2024 Proceedings

3. An improved binary manta ray foraging optimization algorithm based feature selection and random forest classifier for network intrusion detection, Hassan, I.H., Abdullahi, M., Aliyu, M.M., Yusuf, S.A., Abdulrahim, A., 2022, cited in Intelligent Systems with Applications, 16, 200114

4. Improvement of attack detection performance on the internet of things with PSO-search and random forest, Kurniabudi, Stiawan, D., Darmawijoyo, ... Triana, Y.S., Budiarto, R., 2022, cited in Journal of Computational Science, 64, 101833

5. Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data, Surantha, N., Lesmana, T.F., Isa, S.M., 2021, cited in Journal of Big Data, 8(1), 14

6. Important features of CICIDS-2017 dataset for anomaly detection in high dimension and imbalanced class dataset, Kurniabudi, K., Stiawan, D., Darmawijoyo, ... Kerim, B., Budiarto, R., 2021, cited in Indonesian Journal of Electrical Engineering and Informatics, 9(2), pp. 498–511

7. The influence of salp swarm algorithm-based feature selection on network anomaly intrusion detection, Alsaleh, A., Binsaeedan, W., 2021, cited in IEEE Access, 9, pp. 112466–112477, 9504534

8. Intrusion detection using a new hybrid feature selection model, Mohammad, A.H., 2021, cited in Intelligent Automation and Soft Computing, 30(1), pp. 65–80

9. Comparison of Naïve Bayes Algorithm with Genetic Algorithm and Particle Swarm Optimization as Feature Selection for Sentiment Analysis Review of Digital Learning Application, Ernawati, S., Wati, R., Nuris, N., Marita, L.S., Yulia, E.R., 2020, cited in Journal of Physics Conference Series, 1641(1), 012040

10. Feature selection algorithm for intrusion detection using cuckoo search algorithm, Syarif, I., Afandi, R.F., Astika Saputra, F., 2020, cited in Ies 2020 International Electronics Symposium the Role of Autonomous and Intelligent Systems for Human Life and Comfort, pp. 430–435, 9231840

11. A feature selection model for network intrusion detection system based on pso, gwo, ffa and ga algorithms, Almomani, O., 2020, cited in Symmetry, 12(6), pp. 1–20, 1046

12. Review on intrusion detection using feature selection with machine learning techniques, Kalimuthan, C., Arokia Renjit, J., 2020, cited in Materials Today Proceedings, 33, pp. 3794–3802

13. Sleep Stage Identification Using the Combination of ELM and PSO Based on ECG Signal and HRV, Lesmana, T.F., Isa, S.M., Surantha, N., 2018, cited in 2018 3rd International Conference on Computer and Communication Systems Icccs 2018, pp. 436–439, 8463307

14. Sleep stage classification using the combination of SVM and PSO, Surantha, N., Isa, S.M., Lesmana, T.F., Setiawan, I.M.A., 2017, cited in Proceedings 2017 1st International Conference on Informatics and Computational Sciences Icicos 2017, 2018-January, pp. 177–182

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Article 99: Performance Analysis of Cell Zooming Based Centralized Algorithm for Energy Efficient in Surabaya

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1. A mathematical model for cell zooming mechanism of base station using classification approach, Sivachandran, V., Malleswaran, M., 2019, cited in Applied Mathematics and Information Sciences, 13(6), pp. 1053–1058

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Article 100: Semantic Songket Image Search with Cultural Computing of Symbolic Meaning Extraction and Analytical Aggregation of Color and Shape Features

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1. Image Search System for Indonesian Cultural Paintings with Impression Context Recognition, Prana Arief, G.P., Barakbah, A., Basuki, A., 2020, cited in Ies 2020 International Electronics Symposium the Role of Autonomous and Intelligent Systems for Human Life and Comfort, pp. 606–612, 9231730

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Article 101: Fast Response Three Phase Induction Motor Using Indirect Field Oriented Control (IFOC) Based On Fuzzy-Backstepping

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1. Enhancement Fractional-Order Sliding Mode Controller Design for Induction Motor Vector Control, Dursun, M., 2023, cited in Iranian Journal of Science and Technology Transactions of Electrical Engineering, 47(3), pp. 1059–1080

2. Chattering Reduction Using Boundary-SMC on Low-Speed Setting of 3-Phase Induction Motor with IFOC Method, Muntashir, A.A., Purwanto, E., Sumantri, B., 2022, cited in International Review of Automatic Control, 15(1), pp. 1–11

3. Boundary–layer effect in robust sliding mode control for indirect field oriented control of 3-phase induction motor, Happyanto, D.C., Aditya, A.W., Sumantri, B., 2020, cited in International Journal on Electrical Engineering and Informatics, 12(2), pp. 188–204

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Article 102: Performance analysis of DTN using level signal priority epidemic routing protocol

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1. Performance analysis of OLSR Routing for secure medical data transmission for rural areas with Delay Tolerant Network, Prakoso, B.M., Pristy, A.R.N., Arsyad, M., ... Sudarsono, A., Zainudin, A., 2017, cited in 2016 International Symposium on Electronics and Smart Devices Isesd 2016, pp. 51–56, 7886691

2. An implementation of secure medical data delivery for rural areas through delay tolerant network, Zainudin, A., Sudarsono, A., Prakoso, B.M., 2017, cited in Proceedings 2016 International Electronics Symposium Ies 2016, 2016-January, pp. 414–419, 7861042

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Article 103: Cluster oriented spatio temporal multidimensional data visualization of earthquakes in Indonesia

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1. Automatic cluster-oriented seismicity prediction analysis of earthquake data distribution in Indonesia, Barakbah, A.R., Harsono, T., Sudarsono, A., 2019, cited in International Journal on Advanced Science Engineering and Information Technology, 9(2), pp. 587–593

2. Incremental associative mining based risk-mapping system for earthquake analysis in Indonesia, Edelani, R., Barakbah, A.R., Harsono, T., Arif, L.N.U., 2019, cited in International Journal on Informatics Visualization, 3(4), pp. 399–406

3. Neural network for earthquake prediction based on automatic clustering in indonesia, Shodiq, M.N., Kusuma, D.H., Rifqi, M.G., Barakbah, A.R., Harsono, T., 2018, cited in International Journal on Informatics Visualization, 2(1), pp. 37–43

4. Spatial analisys of magnitude distribution for earthquake prediction using neural network based on automatic clustering in Indonesia, Shodiq, M.N., Kusuma, D.H., Rifqi, M.G., Barakbah, A.R., Harsono, T., 2017, cited in Proceedings International Electronics Symposium on Knowledge Creation and Intelligent Computing Ies Kcic 2017, 2017-January, pp. 246–251

5. Association analysis of earthquake distribution in Indonesia for spatial risk mapping, Edelani, R., Barakbah, A.R., Harsono, T., Sudarsono, A., 2017, cited in Proceedings International Electronics Symposium on Knowledge Creation and Intelligent Computing Ies Kcic 2017, 2017-January, pp. 231–238

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Article 104: Tracking and formation control of leader-follower cooperative mobile robot based on trilateration data

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1. A self-organizing area coverage method for swarm robots based on gradient and grouping, Wang, Q., Zhang, H., 2021, cited in Symmetry, 13(4), 680

2. Single-camera trilateration, Zhou, Y., Liu, W., Lu, X., Zhong, X., 2019, cited in Applied Sciences Switzerland, 9(24), 5374

3. An active beacon-based leader vehicle tracking system, Goll, S., Zakharova, E., 2019, cited in Acta Imeko, 8(4), pp. 33–40

4. Disaster swarm robot development: On going project, Kuswadi, S., Adji, S.I., Sigit, R., Tamara, M.N., Nuh, M., 2017, cited in Proceedings 2017 International Conference on Electrical Engineering and Informatics Advancing Knowledge Research and Technology for Humanity Iceltics 2017, 2018-January, pp. 45–60

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Article 105: Performance of implementation ibr-dtn and batman-adv routing protocol in wireless mesh networks

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1. Flooding detection system based on water monitoring and zigbee mesh protocol, Yuliandoko, H., Rohman, A., 2019, cited in 2019 4th International Conference on Information Technology Information Systems and Electrical Engineering Icitisee 2019, pp. 385–390, 9003928

2. Design of a Disaster Information System using Mobile Cloud Wireless Mesh with Delay Tolerant Network, Dela Cruz, J.A., Libatique, N.J., Tangonan, G., 2019, cited in 2019 IEEE Global Humanitarian Technology Conference Ghtc 2019, 9033450

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Article 106: Development of Healthcare Kiosk for Checking Heart Health EMITTER

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1. Diabetes and Heart Disease Identification System Using Iris on the Healthcare Kiosk, Kusumaningtyas, E.M., Barakbah, A., Danggriawan, S., 2021, cited in Journal of Physics Conference Series, 012096

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Article 107: Performance Analysis of an OFDM PHY Scheme with Zero Forcing Equalizer Using Software Defined Radio Platform and USRP

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1. Pre-emptive Priority Queueing Based Multipath Routing (PPQM) to Enhance the QoS for Video Transmission in H-MANETs, Goyal, P., Rishiwal, V., Negi, A., 2024, cited in Wireless Personal Communications, 138(2), pp. 1155–1191

2. Performance analysis on channel estimation of OFDM reception in multipath fast fading channels using PSO, Tiwari, B.B., Ka, S., 2019, cited in International Journal of Scientific and Technology Research, 8(9), pp. 996–1000

3. Data Aided Channel Estimation for OFDM Wireless Systems using Reliable Carriers, Khan, I., Zaib, A., Khattak, S., Azmat, S., 2019, cited in 1st International Conference on Electrical Communication and Computer Engineering Icecce 2019, 8940669

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Article 108: Automatic backup system for virtualization environment

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1. Simulating resilient server using XEN virtualization, Winarno, I., Ishida, Y., 2015, cited in Procedia Computer Science, 60(1), pp. 1745–1752

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Article 109: Dimensionality reduction algorithms on high dimensional datasets

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1. Novel PCA-Based Lower-Dimensional Remapping of the Solution Space for a Genetic Algorithm Optimization: Estimating the Director Distribution in LC-Based SLM Devices, Colomina-Martínez, J., Sirvent-Verdú, J.J., Bernabeu, A.P., ... Beléndez, A., Francés, J., 2024, cited in Applied Sciences Switzerland, 14(21), 9950

2. A Fast Harmonic Mean Linear Discriminant Analysis for Dimensionality Reduction, Sreedharan, S., Nadarajan, R., 2022, cited in International Journal of Intelligent Engineering and Systems, 15(4), pp. 216–226

3. Strategies for Improving the Quality of Logistics Courier Services through Priority Problem-solving Based on Multiclass Classification, Hendayani, R., Dharmawan, M.C., 2020, cited in Iop Conference Series Materials Science and Engineering, 879(1), 012051

4. Feature selection algorithm using information gain based clustering for supporting the treatment process of breast cancer, Fahrudin, T.M., Syarif, I., Barakbah, A.R., 2017, cited in 2016 International Conference on Informatics and Computing Icic 2016, pp. 6–11, 7905680

5. Ant colony algorithm for feature selection on microarray datasets, Fahrudin, T.M., Syarif, I., Barakbah, A.R., 2017, cited in Proceedings 2016 International Electronics Symposium Ies 2016, pp. 351–356, 7861030

6. The determinant factor of breast cancer on medical oncology using feature selection based clustering, Fahrudin, T.M., Syarif, I., Barakbah, A.R., 2016, cited in 2016 International Conference on Knowledge Creation and Intelligent Computing Kcic 2016, pp. 232–239, 7883652

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Article 110: AC-DC PFC converter using combination of flyback converter and full-bridge DC-DC converter

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1. Comparison of MPPT Techniques Using Metaheuristic Algorithms, Abdali, H.N., Al-Thahab, O.Q., Alwash, S.F., 2022, cited in Aest 2022 2022 2nd International Conference on Advances in Engineering Science and Technology, pp. 634–638

2. Modeling and Simulation of MPPT SEPIC-BOOST Using Modified Particle Swarm Optimization (MPSO)-FLC under Dynamic Partial Shading Condition in DC Microgrid System, Murdianto, F.D., Efendi, M.Z., Setiawan, R.E., ... Prabowo, G., Jaya, A., 2018, cited in Ieecon 2018 6th International Electrical Engineering Congress, 8712327

3. Comparison method of MPSO, FPA, and GWO algorithm in MPPT SEPIC converter under dynamic partial shading condition, Murdianto, F.D., Efendi, M.Z., Setiawan, R.E., Hermawan, A.S.L., 2018, cited in Proceeding Icamimia 2017 International Conference on Advanced Mechatronics Intelligent Manufacture and Industrial Automation, pp. 315–320

4. Modeling and simulation of MPPT sepie converter using modified PSO to overcome partial shading impact on DC microgrid system, Efendi, M.Z., Murdianto, F.D., Setiawan, R.E., 2017, cited in Proceedings Ies Eta 2017 International Electronics Symposium on Engineering Technology and Applications, 2017-December, pp. 27–32

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Article 111: Centronit:initial centroid designation algoritm for K-Means clustering

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1. Nonlinear Merge and Split Based Image Clustering Method Through Changing the Number of Clusters, Arai, K., 2023, cited in Lecture Notes in Networks and Systems, 651 LNNS, pp. 403–416

2. Improved ISODATA Clustering Method with Parameter Estimation based on Genetic Algorithm, Arai, K., 2022, cited in International Journal of Advanced Computer Science and Applications, 13(5), pp. 187–193

3. Improving K-Mean Method by Finding Initial Centroid Points, Aslam, A., Qamar, U., Khan, R.A., Saqib, P., 2020, cited in International Conference on Advanced Communication Technology Icact, 2020, pp. 624–627, 9061522

4. Customer Segmentation Based on RFM Value Using K-Means Algorithm, Dedi, Dzulhaq, M.I., Sari, K.W., ... Tullah, R., Sutarman, 2019, cited in Proceedings of 2019 4th International Conference on Informatics and Computing Icic 2019, 8985726

5. Adaptive neural fuzzy inference system and automatic clustering for earthquake prediction in Indonesia, Shodiq, M.N., Kusuma, D.H., Rifqi, M.G., Barakbah, A.R., Harsono, T., 2019, cited in International Journal on Informatics Visualization, 3(1), pp. 47–53

6. Spatial analisys of magnitude distribution for earthquake prediction using neural network based on automatic clustering in Indonesia, Shodiq, M.N., Kusuma, D.H., Rifqi, M.G., Barakbah, A.R., Harsono, T., 2017, cited in Proceedings International Electronics Symposium on Knowledge Creation and Intelligent Computing Ies Kcic 2017, 2017-January, pp. 246–251

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Article 112: Reinforced intrusion detection using pursuit reinforcement competitive learning

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1. Q-Learning Approach Applied to Network Security, Utic, Z., Oyemaja, A., 2025, cited in Electronics Switzerland, 14(10), 1996

2. Securing Critical IoT Infrastructures with Blockchain-Supported Federated Learning, Otoum, S., Ridhawi, I.A., Mouftah, H., 2022, cited in IEEE Internet of Things Journal, 9(4), pp. 2592–2601

3. A Survey of Reinforcement Learning in Intrusion Detection, Utic, Z., Ramachandran, K., 2022, cited in 2022 1st International Conference on AI in Cybersecurity Icaic 2022

4. A Review on Machine Learning based Security Approaches in Intrusion Detection System, Suthishni, D.N.P., Kumar, K.S.S., 2022, cited in Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development Indiacom 2022, pp. 341–348

5. A Comparative Study of AI-Based Intrusion Detection Techniques in Critical Infrastructures, Otoum, S., Kantarci, B., Mouftah, H., 2021, cited in ACM Transactions on Internet Technology, 21(4), 3406093

6. Extending isolation forest for anomaly detection in big data via K-means, Laskar, M.T.R., Huang, J.X., Smetana, V., ... Chan, S., Liu, L., 2021, cited in ACM Transactions on Cyber Physical Systems, 5(4), 41

7. Empowering Reinforcement Learning on Big Sensed Data for Intrusion Detection, Otoum, S., Kantarci, B., Mouftah, H., 2019, cited in IEEE International Conference on Communications, 2019-May, 8761575

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Article 113: Indonesian automatic speech recognition for command speech controller multimedia player

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1. Smart presentation system using hand gestures and Indonesian speech command, Wardhany, V.A., Kurnia, M.H., Sukaridhoto, S., Sudarsono, A., Pramadihanto, D., 2016, cited in Proceedings 2015 International Electronics Symposium Emerging Technology in Electronic and Information Ies 2015, pp. 68–72, 7380816

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Article 114: Automatic representative news generation using on-line clustering

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1. SciNews: From Scholarly Complexities to Public Narratives - A Dataset for Scientific News Report Generation, Pu, D., Wang, Y., Loy, J., Demberg, V., 2024, cited in 2024 Joint International Conference on Computational Linguistics Language Resources and Evaluation Lrec Coling 2024 Main Conference Proceedings, pp. 14429–14444

2. Indonesian Online News Extraction and Clustering Using Evolving Clustering, Alfian, M., Barakbah, A.R., Winarno, I., 2021, cited in International Journal on Informatics Visualization, 5(3), pp. 280–290

3. Representative News Generation using Automatic Clustering in Big Data Environment, Alfian, M., Barakbah, A.R., Febrian Ardiansyah, M., 2019, cited in Ies 2019 International Electronics Symposium the Role of Techno Intelligence in Creating an Open Energy System Towards Energy Democracy Proceedings, pp. 655–659, 8901572

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Article 115: Hydraulic study, design & analysis of different geometries of drip irrigation emitter labyrinth

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1. Hydrodynamic flow conditions and calcium carbonate scale in dripper labyrinth with varied geometric configurations, Muniz, G.L., Benitez, J.S., Camargo, A.P., ... Cano, N.D., Frizzone, J.A., 2025, cited in Biosystems Engineering, 257, 104199

2. Geometric Characteristics of Dripper Labyrinths and Accumulation of Solid Particles: Simulation and Experimentation, Muniz, G.L., de Camargo, A.P., Ait-Mouheb, N., Cano, N.D., 2025, cited in Agriengineering, 7(7), 217

3. Analysis of Hydraulic Characteristics and Anti-clogging Performance of Three-way Channel Emitters | 三向流道灌水器水力特征及抗堵性能分析, Wang, Y.-L., Wu, H.-F., Wei, L.-S., Zhu, S.-J., Wu, H.-W., 2025, cited in Water Saving Irrigation, (6), pp. 23–29

4. Multi-Objective Optimization Design of the Small Flow Rate Emitter Structure Based on the NSGA-II Genetic Algorithm, Yang, Z., Mo, Y., Zhao, C., ... Gong, S., Bi, Y., 2024, cited in Agriculture Switzerland, 14(12), 2336

5. The Structural Optimization of Leaf Vein Drip Irrigation Emitter on Hydraulic Performance, Energy Entropy and Anti-Clogging Ability, Li, Z., Bao, S., Cheng, Q., Yu, Q., Xu, T., 2024, cited in Agronomy, 14(6), 1102

6. Improving hydraulic performance of drip irrigation emitters through CFD Analysis, Aswini, K., Manjunatha, Zafar, S., ... Sharma, N., Al-Jawahry, H.M., 2024, cited in E3s Web of Conferences, 507, 01068

7. Mechanism Analysis of the Influence of Structural Parameters on the Hydraulic Performance of the Novel Y-Shaped Emitter, Li, C., Li, Z., Du, P., Ma, J., Li, S., 2023, cited in Agriculture Switzerland, 13(6), 1160

8. Application of micro-computed tomography to decipher deposition and flocking patterns of clogging material on cylindrical drip emitters, Ramachandrula, V.R., Kasa, R.R., 2023, cited in Current Science, 124(6), pp. 737–747

9. Non-destructive characterization of physical and chemical clogging in cylindrical drip emitters, Ramachandrula, V.R., Kasa, R.R., 2020, cited in Heliyon, 6(10), e05327

10. Monitoring of drippers during wastewater application through statistical quality control, Szekut, F.D., dos Santos, D.B., de Azevedo, C.A.V., ... Ribeiro, M.D., Zuculotto, T., 2020, cited in Australian Journal of Crop Science, 14(4), pp. 551–556

11. Effect of a combined filtration system and drip irrigation laterals on quality of rainbow trout farm effluent, Manbari, N., Maroufpoor, E., Aminpour, Y., Bahrami Kamangar, B., Puig Bargués, J., 2020, cited in Irrigation Science, 38(2), pp. 131–145

12. Determination of the hydraulic properties of a flat type drip emitter using computational fluid dynamics, Demir, V., Yürdem, H., Yazgi, A., Günhan, T., 2020, cited in Tarim Bilimleri Dergisi, 26(2), pp. 226–235

13. Modeling and hydraulic performance evaluation of a dripper device coupled to a branched water distribution network | Modelagem e avaliação de desempenho hidráulico de dispositivo gotejador acoplado a rede de distribuição de água ramificada, Zanca, R.B., das Graças Braga da Silva, F., Sant’Anna, D.O., ... dos Santos, I.F., dos Reis, J.A.T., 2019, cited in Revista Ambiente E Agua, 14(3), e2340

14. Hydraulic evaluation of locally modified emitter under laboratory conditions, Mostafa, H., Sultan, W., 2018, cited in Journal of Water Supply Research and Technology Aqua, 67(3), pp. 291–296

15. Simulation and analysis of emitter labyrinth channel flow field in drip irrigation, Yang, C.-F., Lin, T.-C., 2018, cited in Journal of Taiwan Agricultural Engineering, 64(1), pp. 91–97

16. Establishment and validation of flow rate prediction model for drip irrigation emitter based on support vector machine, Guo, L., Bai, D., Wang, X., ... Zhou, W., Cheng, P., 2018, cited in Nongye Gongcheng Xuebao Transactions of the Chinese Society of Agricultural Engineering, 34(2), pp. 74–82

17. Numerical simulation and verification of hydraulic performance and energy dissipation mechanism of two-ways mixed flow emitter, Guo, L., Bai, D., Wang, X., ... Zhou, W., Cheng, P., 2017, cited in Nongye Gongcheng Xuebao Transactions of the Chinese Society of Agricultural Engineering, 33(14), pp. 100–107

18. Fertigation in a drip irrigation system: Evaluation of venturi injectors and its simulation study, Chavan, S.V., Polisgowdar, B.S., Joshi, A.B., ... Satishkumar, U., Wali, V.B., 2017, cited in Micro Irrigation Scheduling and Practices, pp. 343–356

19. Emitter clogging in drip irrigation using treated domestic wastewater, Szekut, F.D., do Santos, D.B., de Azevedo, C.A.V., ... Ribeiro, M.D., de Sousa Medeiros, S., 2015, cited in Journal of Food Agriculture and Environment, 13(3-4), pp. 60–66

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Article 116: Analysis of EEG signal for determining the nature of humans using backpropagation

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1. Human character recognition application based on facial feature using face detection, Setyadi, A.D., Harsono, T., Wasista, S., 2016, cited in Proceedings 2015 International Electronics Symposium Emerging Technology in Electronic and Information Ies 2015, pp. 263–267, 7380852

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Article 117: Estimation of confidence in the dialogue based on eye gaze and head movement information

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1. Tangible document sharing: handing over paper documents across a videoconferencing display, Tanaka, K., Oshiro, K., Yamashita, N., Nakanishi, H., 2024, cited in Frontiers in Robotics and AI, 11, 1303440

2. Analysis and Recognition of Confidence Level Based on Eye Gaze and Head Movement Towards Human-Robot Co-Learning, Eto, R., Sato-Shimokawara, E., 2023, cited in Proceedings International Conference on Machine Learning and Cybernetics, pp. 495–500