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

Medical Hyperspectral Image Feature Selection Framework Using Functional Data Analysis: Application to Membranous Nephropathy Pathologic Diagnosis

Abstract: To address the core issue of high-dimensional data processing in hyperspectral pathological diagnosis, we develop a new feature selection framework using functional data analysis (FSFDA).
AHA/ASA Journals

Defective Trophoblast Differentiation, Endothelial Dysfunction, and Immune Dysregulation in Preeclampsia Coalesce on a Placental VGLL3-Centered Gene Netw…

BACKGROUND: Preeclampsia affects approximately 1 in 10 pregnancies, leading to severe complications and long-term health ...
GitHub

Ethan-YichengDong/LIBERO-origin

LIBERO is designed for studying knowledge transfer in multitask and lifelong robot learning problems. Successfully resolving these problems require both declarative knowledge about objects/spatial ...