An automated phenotyping framework using Elliptic Fourier Descriptors, Zernike moments, and geometric features combined with unsupervised K-Means clustering for endothelial cell classification can support real world analysis of corneal endothelial cell phenotypes when combined with clinical expertise of researchers and...
A. Doke, Suja Palaniswamy· International Journal of Onl...· 0 citations
A meta-learning framework that combines Model-Agnostic Meta-Learning (MAML) with a dual-memory, transformer-based architecture and a dual memory backbone is proposed, providing a useful proof of concept where MAML has been shown to learn generalized anomaly and non-anomaly representations with a transformer based archi...
Shradha Mahadev Naik, Suja Palaniswamy, Nicola Conci· Journal of King Saud Univers...· 0 citations
The effectiveness of the proposed actor–critic deep reinforcement learning framework for accurate and reliable manipulator control with reduced model complexity and improved real-world applicability is confirmed.
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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