Author

M. Palaniswami

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#machine learning Preprint Oct 2026

Learning to Remember: Distilling Memory Retention for Compact Recurrent Neural Networks

Deep learning models, particularly recurrent neural networks and their variants, such as long short-term memory, have significantly advanced time series analysis. These models capture complex, sequential patterns in time series, enabling real-time assessments. However, their high computational complexity and large mode...

Nilushika Udayangania, Kishor Nandakishora, M. Palaniswami · 0 citations

#artificial intelligence Review Oct 2026

Non-invasive Seizure Detection Using Wearable Wrist-worn Accelerometry and Deep Learning

Seizure monitoring and detection are crucial for reducing the morbidity and mortality associated with seizures. Current epilepsy care, often involving expensive video-electroencephalography (VEEG) monitoring, requires specialized expertise and is limited to in-hospital settings, and intrusive in nature. Seizure diaries...

Nilushika Udayangani Hewa Dehigahawattage, Kishor Nandakishor, M. Palaniswami · 0 citations