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ORCIDChathura Wanigasekara
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Journal Articles
- 2024
[j8]W. M. N. Witharama, K. M. D. P. Bandara, M. I. Azeez, Kasun Bandara
, V. Logeeshan, Chathura Wanigasekara:
Advanced Genetic Algorithm for Optimal Microgrid Scheduling Considering Solar and Load Forecasting, Battery Degradation, and Demand Response Dynamics. IEEE Access 12: 83269-83284 (2024)- 2023
- [j7]Balarupan Gowrienanthan, N. Kiruthihan, K. D. I. S. Rathnayake, S. Kiruthikan, Logeeshan Velmanickam, S. Kumarawadu, Chathura Wanigasekara:
Deep Learning Based Non-Intrusive Load Monitoring for a Three-Phase System. IEEE Access 11: 49337-49349 (2023) - [j6]Chathura Wanigasekara, Frank Sill Torres, Akshya Swain:
Robust Control of Autonomous Underwater Vehicles Using Delta-Sigma-Based 1-bit Controllers. IEEE Access 11: 122821-122832 (2023) - 2022
- [j5]Dhafer J. Almakhles, Chathura Wanigasekara, Akshya Swain:
Delta Modulator Based Quantised State-Feedback Control of Networked Linear Systems. IEEE Access 10: 48865-48874 (2022) - 2021
- [j4]Chathura Wanigasekara, Liruo Zhang, Akshya Swain, Sing Kiong Nguang:
Delta-Modulator-Based Quantised State Feedback Controller for T-S Fuzzy Networked Systems. Int. J. Fuzzy Syst. 23(3): 642-656 (2021) - [j3]Chathura Wanigasekara, Ebrahim Oromiehie, Akshya Swain, B. Gangadhara Prusty, Sing Kiong Nguang:
Machine learning-based inverse predictive model for AFP based thermoplastic composites. J. Ind. Inf. Integr. 22: 100197 (2021) - 2020
- [j2]Chathura Wanigasekara, Dhafer Al-Makhles, Akshya Swain, Sing Kiong Nguang:
Delta-Modulator-Based Quantised Output Feedback Controller for Linear Networked Control Systems. IEEE Access 8: 175169-175179 (2020) - [j1]Chathura Wanigasekara, Ebrahim Oromiehie, Akshya Swain, B. Gangadhara Prusty, Sing Kiong Nguang:
Machine Learning Based Predictive Model for AFP-Based Unidirectional Composite Laminates. IEEE Trans. Ind. Informatics 16(4): 2315-2324 (2020)
Conference and Workshop Papers
- 2024
- [c13]M. A. S. P. Dayarathne, M. S. M. Jayathilaka, R. M. V. A. Bandara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara:
Deep Learning-Based Cyber Attack Detection in Power Grids with Increasing Renewable Energy Penetration. AIIoT 2024: 521-526 - [c12]S. M. L. Arampola, M. S. K. Nisakya, W. A. Yasodya, S. Kumarawadu, V. Logeeshan, Chathura Wanigasekara:
Self-Adaptive Non-Intrusive Load Monitoring Using Deep Learning. AIIoT 2024: 540-545 - [c11]Shamaltha M. Wickramaarachchi, S. A. Dewmini Suraweera, D. M. Pasindu Akalanka, V. Logeeshan, Chathura Wanigasekara:
Accurate Prediction of Remaining Useful Life for Lithium-ion Battery Cells Using Deep Neural Networks. AIIoT 2024: 562-568 - [c10]R. D. Sandakelum, V. H. Liyanage, P. M. Chandrasekara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara:
Development of Deep Learning Model to Detect Cyber-Attacks within Vehicular Networks. AIIoT 2024: 569-574 - 2023
- [c9]M. J. S. Kulathilaka, S. Saravanan, H. D. H. P. Kumarasiri, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara:
Maximizing Efficiency in Commercial Power Systems with an Optimized Load Classification and Identification Method Using Deep Learning and Ensemble Techniques. AIIoT 2023: 403-408 - [c8]S. I. Senarathna, L. A. U. Prasanshi, S. D. W. Senanayake, Dhammike Wimalarathne, S. Kumarawadu, V. Logeeshan, Chathura Wanigasekara:
A Data-Driven Approach Based on Artificial Neural Networks for the Detection and Classification of Bearing Anomalies in Power Generation Plants. AIIoT 2023: 415-420 - [c7]W. M. N. Witharama, K. M. D. P. Bandara, M. I. Azeez, Muditha Adhikari, Kasun Bandara, V. Logeeshan, Chathura Wanigasekara:
Optimal Scheduling of a Solar-Powered Microgrid Using ML-Based Solar and Load Forecasting. AIIoT 2023: 447-453 - [c6]J. A. R. R. Jayasinghe, J. H. E. Malindi, R. M. A. M. Rajapaksha, V. Logeeshan, Chathura Wanigasekara:
Enhanced Fault Classification and Localization in Microgrids Using Machine Learning. AIIoT 2023: 542-547 - 2022
- [c5]Chathura Wanigasekara, Liruo Zhang, Akshya Swain:
H∞ State-Feedback Consensus of Linear Multi-Agent Systems. ICCA 2022: 710-715 - [c4]Liruo Zhang, Chathura Wanigasekara, Akshya Swain:
A comparative investigation between memory-based and discrete event-triggered scheme in networked control systems. ICCA 2022: 862-867 - 2021
- [c3]Diana Benavides Prado, Chathura Wanigasekara, Akshya Swain:
Generalised Controller Design Using Continual Learning. ICANN (2) 2021: 397-408 - 2019
- [c2]Chathura Wanigasekara, Akshya Swain, Sing Kiong Nguang, B. Gangadhara Prusty:
Neural Network Based Inverse System Identification from Small Data Sets. IJCNN 2019: 1-6 - 2018
- [c1]Chathura Wanigasekara, Akshya Swain, Sing Kiong Nguang, B. Gangadhara Prusty:
Improved Learning from Small Data Sets Through Effective Combination of Machine Learning Tools with VSG Techniques. IJCNN 2018: 1-6
Coauthor Index
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