Abstract: The rapid adoption of Electric Vehicles (EVs) necessitates advanced solutions for flexible charging (FC) systems to meet diverse user needs and optimize grid efficiency. This study ...

Abstract: This paper presents a hybrid prediction technique for fault detection of induction machines. The established hybrid forecast scheme signifies the combined execution of Bald-Eagle- ...

Claude writes confident MATLAB code, but it sometimes makes up function names that don't exist in R2025b. These skills fix that. They give Claude a quick-reference of tricky APIs, deprecated functions ...

This is the very first version of the SANDI Matlab Toolbox, no longer updated. The most recent and up-to-date version of the SANDI Matlab Toolbox can be found here. We recommend users to use the most ...

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

Detection and analysis of spontaneous synaptic events is an extremely common task in many neuroscience research labs. Various algorithms and tools have been developed over the years to improve the ...

Mine water inrush disaster can quickly cause significant economic losses and casualties because of its strong concealing and rapid burst speed. Quickly identifying the source of mine water inrush is ...

Key Laboratory of Synthetic and Natural Functional Molecule of the Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi’an 710127, China ...

Introduction: We compare the use of two machine learning (ML) algorithms: random forests (RFs) and k-means clustering (KMC), for classification of presence or absence of amyloid deposition using 18 ...

We aimed to investigate the ability of machine learning (ML) techniques analyzing diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging to ...