papers
Publications (2)
eess.SY2023
Data-Driven Thermal Anomaly Detection in Large Battery Packs
Kiran Bhaskar, Ajith Kumar, James Bunce +3
The early detection and tracing of anomalous operations in battery packs are critical to improving performance and ensuring safety. This paper presents a data-driven approach for o…
cs.LG2021
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks
Feng Sun, Ajith Kumar, Guanci Yang +4
Graph Convolutional Networks (GCNs) are widely used in many applications yet still need large amounts of labelled data for training. Besides, the adjacency matrix of GCNs is stable…