3 papers
cs.CV2026
You Don't Need Attention: Gated Convolutional Modeling for Watch-Based Fall Detection
Sana Alamgeer, Ronish Kumar, Awatif Yasmin +2
Existing deep learning approaches for wearable fall detection systems rely on self-attention mechanisms that impose quadratic computational overhead, distributing weights across al…
cs.LG2026
Personalized Fall Detection by Balancing Data with Selective Feedback Using Contrastive Learning
Awatif Yasmin, Tarek Mahmud, Sana Alamgeer +1
Personalized fall detection models can significantly improve accuracy by adapting to individual motion patterns, yet their effectiveness is often limited by the scarcity of real-wo…
cs.SE2024
Automated Update of Android Deprecated API Usages with Large Language Models
Tarek Mahmud, Bin Duan, Meiru Che +3
Android apps rely on application programming interfaces (APIs) to access various functionalities of Android devices. These APIs however are regularly updated to incorporate new fea…