IEEE

Feature Selection for Battery Lifetime Prediction using Explainable Machine Learning

Abstract: Accurate battery lifetime estimation is crucial for health management and system safety. Data-driven research yields extensive feature sets, yet optimal feature selection is often impeded by ...
IEEE

Fusion of Supervised Feature Selection and Unsupervised Clustering for Multinuclei Classification of MER Signals in DBS for Parkinson’s Disease

Abstract: In deep brain stimulation (DBS) surgery for Parkinson’s disease (PD), the accurate intraoperative identification of key nuclei—such as the subthalamic nucleus (STN)—is critical to ensuring ...