Frontiers

Using Machine Learning to Automate Seismoacoustic Process Monitoring of a Nuclear Pyroprocessing Element Chopper

The final, formatted version of the article will be published soon. Advancements in novel sensors and artificial intelligence data processing have increased the prevalence of condition and process ...
C&EN

Significance of the Chemical Environment of an Element in Nonadiabatic Molecular Dynamics: Feature Selection and Dimensionality Reduction with Machine Learning

Department of Chemical Engineering, University of Southern California, Los Angeles, California 90089, United States Department of Chemistry, University of Southern California, Los Angeles, California ...
IEEE

Cross-Scale Feature Blending Model for Surface Defect Identification in Machine Tool Elements Resilient to Contaminant Interference

Abstract: Ball screw drives (BSDs) play a crucial role in various industrial applications, particularly in CNC machines. However, they are vulnerable to external variables potentially leading to ...
IEEE

White-Box High-Frequency Impedance Modeling of Permanent Magnet Synchronous Machines Using Small-Signal Time-Harmonic Finite Element Analysis

Abstract: This article advances a two-dimensional (2-D) coupled field-circuit small-signal time-harmonic finite element analysis (THFEA) method for achieving comprehensive modeling of high-frequency ...