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

Authoring velocity, front-end release speed and operational efficiency reveal far more than a traditional RFP feature grid.

The large language model automates literature search, synthesis, and structural analysis to speed up materials discovery and ...

Manufacturers will no longer get a credit toward vehicle emissions standards by installing engines that automatically stop at red lights. By Amanda Holpuch The federal Environmental Protection Agency ...

Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...

ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...

1 School of Mathematics and Statistics, Guilin University of Technology, Guilin, China. 2 Applied Statistics Institute, Guilin University of Technology, Guilin, China.. Current high-dimensional ...

1 Shanghai Key Lab of Modern Optical System, Engineering Research Center of Optical Instrument and System, Ministry of Education, University of Shanghai for Science and Technology, Shanghai, China 2 ...