Chathura Wanigasekara

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Autonomous Underwater Vehicles

Feedback Controller

Top Venues

Publications

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)
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)
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 (2024)
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)
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)
Chathura Wanigasekara, Frank Sill Torres, Akshya Swain
Robust Control of Autonomous Underwater Vehicles Using Delta-Sigma-Based 1-bit Controllers. IEEE Access 11 (2023)
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)
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)
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 (2023)
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)
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)
Dhafer J. Almakhles, Chathura Wanigasekara, Akshya Swain
Delta Modulator Based Quantised State-Feedback Control of Networked Linear Systems. IEEE Access 10 (2022)
Chathura Wanigasekara, Liruo Zhang, Akshya Swain
H∞ State-Feedback Consensus of Linear Multi-Agent Systems. ICCA (2022)
Liruo Zhang, Chathura Wanigasekara, Akshya Swain
A comparative investigation between memory-based and discrete event-triggered scheme in networked control systems. ICCA (2022)
Diana Benavides Prado, Chathura Wanigasekara, Akshya Swain
Generalised Controller Design Using Continual Learning. ICANN (2) (2021)
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) (2021)
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 (2021)
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 (2020)
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) (2020)
Chathura Wanigasekara, Akshya Swain, Sing Kiong Nguang, B. Gangadhara Prusty
Neural Network Based Inverse System Identification from Small Data Sets. IJCNN (2019)
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)