Logeeshan Velmanickam

According to our database, Logeeshan Velmanickam authored at least 21 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Self-Adaptive Deep Learning Framework for Non-Intrusive Load Monitoring: Addressing Aging Appliance Challenges With Transfer Learning and Pseudo Labeling.

W. A. Yasodya, S. M. L. Arampola, M. S. K. Nisakya, V. Logeeshan, Sisil Kumarawadu, Chathura Wanigasekara

IEEE Access, 2025

Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models.

M. A. S. P. Dayarathne, M. S. M. Jayathilaka, R. M. V. A. Bandara, V. Logeeshan, Sisil Kumarawadu, Chathura Wanigasekara

IEEE Access, 2025

2024

Advanced Genetic Algorithm for Optimal Microgrid Scheduling Considering Solar and Load Forecasting, Battery Degradation, and Demand Response Dynamics.

W. M. N. Witharama, K. M. D. P. Bandara, M. I. Azeez, Kasun Bandara, V. Logeeshan, Chathura Wanigasekara

IEEE Access, 2024

Automatic Control and Health Monitoring of a 3-Dimentional Overhead Crane with Minimally Required Sensor Devices.

Minami Kumarawadu, Logeeshan Velmanickam

Proceedings of the 21st International Conference on Informatics in Control, 2024

Accurate Prediction of Remaining Useful Life for Lithium-ion Battery Cells Using Deep Neural Networks.

Shamaltha M. Wickramaarachchi, S. A. Dewmini Suraweera, D. M. Pasindu Akalanka, V. Logeeshan, Chathura Wanigasekara

Proceedings of the IEEE World AI IoT Congress, 2024

Development of Deep Learning Model to Detect Cyber-Attacks within Vehicular Networks.

R. D. Sandakelum, V. H. Liyanage, P. M. Chandrasekara, V. Logeeshan, Sisil Kumarawadu, Chathura Wanigasekara

Proceedings of the IEEE World AI IoT Congress, 2024

Deep Learning-Based Cyber Attack Detection in Power Grids with Increasing Renewable Energy Penetration.

M. A. S. P. Dayarathne, M. S. M. Jayathilaka, R. M. V. A. Bandara, V. Logeeshan, Sisil Kumarawadu, Chathura Wanigasekara

Proceedings of the IEEE World AI IoT Congress, 2024

Self-Adaptive Non-Intrusive Load Monitoring Using Deep Learning.

S. M. L. Arampola, M. S. K. Nisakya, W. A. Yasodya, Sisil Kumarawadu, V. Logeeshan, Chathura Wanigasekara

Proceedings of the IEEE World AI IoT Congress, 2024

2023

A Secure and Smart Home Automation System with Speech Recognition and Power Measurement Capabilities.

I. B. Chandra Irugalbandara, Abdul Salam Naseem, Sasmitha Perera, Sithamparanathan Kiruthikan, Velmanickam Logeeshan

Sensors, July, 2023

Deep Learning Based Non-Intrusive Load Monitoring for a Three-Phase System.

Balarupan Gowrienanthan, N. Kiruthihan, K. D. I. S. Rathnayake, S. Kiruthikan, Logeeshan Velmanickam, Sisil Kumarawadu, Chathura Wanigasekara

IEEE Access, 2023

Neural Network-Based Pipeline for Detection of Sensor Anomalies in Battery Energy Storage Systems.

H. G. I. Thiranga, M. S. Weeraman, P. A. L. Pathirage, V. Logeeshan, Sisil Kumarawadu

Proceedings of the 17th IEEE International Conference on Industrial and Information Systems, 2023

Optimal Scheduling of a Solar-Powered Microgrid Using ML-Based Solar and Load Forecasting.

W. M. N. Witharama, K. M. D. P. Bandara, M. I. Azeez, Muditha Adhikari, Kasun Bandara, V. Logeeshan, Chathura Wanigasekara

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.

S. I. Senarathna, L. A. U. Prasanshi, S. D. W. Senanayake, Dhammike Wimalarathne, Sisil Kumarawadu, V. Logeeshan, Chathura Wanigasekara

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.

M. J. S. Kulathilaka, S. Saravanan, H. D. H. P. Kumarasiri, V. Logeeshan, Sisil Kumarawadu, Chathura Wanigasekara

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

Enhanced Fault Classification and Localization in Microgrids Using Machine Learning.

J. A. R. R. Jayasinghe, J. H. E. Malindi, R. M. A. M. Rajapaksha, V. Logeeshan, Chathura Wanigasekara

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022

Smart Three In One System For Indoor Safety Assurance.

Ashan Dhanuka Sandanayake, Yehan Kodithuwakku, Chanuka Bandara, V. Logeeshan

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

IoT Based Healthcare Kit for Domestic Usage.

Yehan Kodithuwakku, Ashan Dhanuka Sandanayake, Chanuka Bandara, V. Logeeshan

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

HomeIO: Offline Smart Home Automation System with Automatic Speech Recognition and Household Power Usage Tracking.

I. B. Chandra Irugalbandara, Abdul Salam Naseem, Sasmitha Perera, Velmanickam Logeeshan

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

Low-Cost Ensembling for Deep Neural Network based Non-Intrusive Load Monitoring.

Balarupan Gowrienanthan, N. Kiruthihan, K. D. I. S. Rathnayake, Sisil Kumarawadu, V. Logeeshan

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

Automated Medicinal-Pill Dispenser with Cellular and Wi-Fi IoT Integration.

Chanuka Bandara, Ashan Dhanuka Sandanayake, Yehan Kodithuwakku, V. Logeeshan

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

2016

Dielectrophoretic cell isolation in microfluidics channels for high-throughput biomedical applications.

Logeeshan Velmanickam, Keerthi Nawarathna

Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016