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CRoP: Adaptive Pruning for Personalized and Robust Static Human-Sensing Using Pre-Trained Models
Invention Description Personalized human-sensing systems, especially in clinical and health applications, often struggle with limited user-specific data and significant variability between individuals. Differences in physiology, behavior, and environmental conditions can cause performance drops when models trained on general datasets are applied to...
Published: 3/18/2026   |   Updated: 3/18/2026   |   Inventor(s): Asif Salekin
Keywords(s):  
Category(s): Artificial Intelligence/Machine Learning, Computing & Information Technology, Life Science (All LS Techs), Medical Diagnostics/Sensors