Abstract: The conventional finite-control-set model predictive control (FCS-MPC) method for matrix converters faces significant challenges of high computational demands and parameter uncertainty. To ...

Abstract: Machine Learning and AI approaches have stretched traditional hardware to its limits. In-hardware computing is a novel approach that aims to run Matrix-Vector Multiplication operations ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...

Chris is a Senior News Writer for Collider. He can be found in an IMAX screen, with his eyes watering and his ears bleeding for his own pleasure. He joined the news team in 2022 and accidentally fell ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

This eBook explores the latest advances in iPSC-derived models, highlighting how they bridge preclinical and clinical ...

This study presents valuable findings on the role of KLF6 in in vitro endothelial cells exposed to altered (high or low) shear stress with a customized microfluidic device to investigate mechanisms of ...

BACKGROUND: A 3-dimensional hyperboloid model has been proposed to characterize ventricular tachycardia (VT) circuitry. We ...

This course is for statisticians, health economists, and decision modellers who are interested in understanding and applying the latest evidence synthesis and population adjustment methodologies in ...

Early-stage lung adenocarcinoma alters DNA methylation, mRNA transcription, and protein expression in adjacent tissues, exhibiting either steep changes at the tumor boundaries or shallow changes ...