Chathura Wanigasekara
Orcid: 0000-0003-4371-6108
According to our database1,
Chathura Wanigasekara
authored at least 23 papers
between 2018 and 2025.
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Bibliography
2025
Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models.
IEEE Access, 2025
2024
Advanced Genetic Algorithm for Optimal Microgrid Scheduling Considering Solar and Load Forecasting, Battery Degradation, and Demand Response Dynamics.
IEEE Access, 2024
IEEE Access, 2024
Accurate Prediction of Remaining Useful Life for Lithium-ion Battery Cells Using Deep Neural Networks.
Proceedings of the IEEE World AI IoT Congress, 2024
Development of Deep Learning Model to Detect Cyber-Attacks within Vehicular Networks.
Proceedings of the IEEE World AI IoT Congress, 2024
Deep Learning-Based Cyber Attack Detection in Power Grids with Increasing Renewable Energy Penetration.
Proceedings of the IEEE World AI IoT Congress, 2024
Proceedings of the IEEE World AI IoT Congress, 2024
2023
Robust Control of Autonomous Underwater Vehicles Using Delta-Sigma-Based 1-bit Controllers.
IEEE Access, 2023
IEEE Access, 2023
Optimal Scheduling of a Solar-Powered Microgrid Using ML-Based Solar and Load Forecasting.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
A Data-Driven Approach Based on Artificial Neural Networks for the Detection and Classification of Bearing Anomalies in Power Generation Plants.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
Maximizing Efficiency in Commercial Power Systems with an Optimized Load Classification and Identification Method Using Deep Learning and Ensemble Techniques.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
2022
IEEE Access, 2022
A comparative investigation between memory-based and discrete event-triggered scheme in networked control systems.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022
2021
Machine learning-based inverse predictive model for AFP based thermoplastic composites.
J. Ind. Inf. Integr., 2021
Delta-Modulator-Based Quantised State Feedback Controller for T-S Fuzzy Networked Systems.
Int. J. Fuzzy Syst., 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
Machine Learning Based Predictive Model for AFP-Based Unidirectional Composite Laminates.
IEEE Trans. Ind. Informatics, 2020
Delta-Modulator-Based Quantised Output Feedback Controller for Linear Networked Control Systems.
IEEE Access, 2020
2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Improved Learning from Small Data Sets Through Effective Combination of Machine Learning Tools with VSG Techniques.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018