Corneal endothelial cell morphology is clinically important to understand corneal health, and is routinely examined using specular microscopy. Traditional metrics such as endothelial cell density (ECD), coefficient of variation (CV), and hexagonality percentage provide limited morphological information and are unreliab...
A. Doke, Suja Palaniswamy· International Journal of Onl...· 0 citations
Weakly supervised video anomaly detection (WSAD) aims to localise anomalous events in untrimmed videos using only video-level labels. Existing multiple instance learning (MIL) methods often suffer from poor generalisation to unseen anomaly types, unstable temporal attention, and limited adaptability when only a few lab...
Shradha Mahadev Naik, Suja Palaniswamy, Nicola Conci· Journal of King Saud Univers...· 0 citations
Deep reinforcement learning is emerging as a powerful alternative to traditional inverse kinematics for controlling robotic manipulators. By learning optimal actions through interaction with the environment, it enables adaptable and precise control in complex continuous workspaces, making it suitable for dynamic manipu...
To accomplish better inventory management, a hybrid framework was created, which integrates Machine Learning (ML) and Reinforcement Learning (RL). A Temporal Fusion Transformer (TFT), trained using two years of retail data which included sales, pricing, promotions, weather conditions, and seasonal variations across var...
John Mohan, Suja Palaniswamy· 2026 7th International Confe...· 0 citations
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