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S. Kumarawadu
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 5
Top Topics
Anomaly Detection
Deep Learning
Weakly Supervised
Neural Network
Top Venues
AIIoT
ICIIS
IEEE Access
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Publications
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H. G. I. Thiranga
,
M. S. Weeraman
,
P. A. L. Pathirage
,
V. Logeeshan
,
S. Kumarawadu
Neural Network-Based Pipeline for Detection of Sensor Anomalies in Battery Energy Storage Systems.
ICIIS
(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)
Balarupan Gowrienanthan
,
N. Kiruthihan
,
K. D. I. S. Rathnayake
,
S. Kumarawadu
,
V. Logeeshan
Low-Cost Ensembling for Deep Neural Network based Non-Intrusive Load Monitoring.
AIIoT
(2022)