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 ...
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).
A Python package presented as a privacy-first shortcut to AI models has been unmasked as a supply-chain threat that quietly captures user prompts, leans on a private university service without ...
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