Researchers have proposed an efficient feature search approach for estimating the state of health of lithium-ion batteries, ...

Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of ...

Abstract: In high-dimensional data, features often exhibit complex correlations and redundancies that hinder effective learning and reduce model interpretability. Therefore, extracting critical ...

Google’s AI Overviews (AIO) represent a fundamental architectural shift in search. Retrieval has moved from a localized ranking-and-serving model, designed to return the most appropriate regional URL, ...

Abstract: Accurate detection of forest stress from satellite data depends heavily on selecting informative spectral features. Traditional approaches rely on a limited set of predefined vegetation ...

EnDeep4mC is a deep learning framework for predicting DNA N4-methylcytosine sites through dual-adaptive feature encoding and ensemble learning. This repository contains the complete implementation, ...