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Author

A. R.

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Conference Sep 2026

A Physics-Informed Bayesian Deep Learning Framework for Explainable and Probabilistic Lithium-Ion Battery Health Prognostics

To ensure the safety and efficiency of battery-powered applications, it is essential to accurately estimate the State of Health (SOH) and Remaining Useful Life (RUL) of the batteries. Although physics-based models are available to represent the degradation of the batteries, these models may have difficulties modeling t...

Manisha U, N. H., A. R. · 0 citations
Conference Aug 2026

FaceTrack: Deep Learning-Based Person Detection, Recognition, and Timestamp Extraction in Surveillance Videos

The widespread deployment of Closed Circuit Television (CCTV) cameras in public areas, schools, transport hubs and retail outlets has resulted in the constant production of vast amounts of surveillance data. It is time-consuming and inefficient to manually check these videos to see if a certain person is in the video,...

Maria Camryn A, Rishwantthi R, A. R. · 0 citations

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