Abstract: This paper presents a comprehensive fault classification framework for three-phase Induction Motors (IMs) using a novel Grey Wolf Optimization-enhanced Support Vector Machine (GWO-SVM) ...

Beans are a legume that is widely grown and consumed globally, being the staple food for humans in developing countries. Nitrogen (N) is the most limiting nutrient for yield and foliar analysis is ...

Abstract: Traditional fault classification methods typically rely on manual feature extraction and the application of machine-learning algorithms. However, these approaches encounter difficulties when ...

Electrooculography (EOG) provides a simple and low-cost way to detect eye movements by measuring the corneo-retinal potential difference. Because EOG signals are highly susceptible to low-frequency ...

With the increasing use of microgrids, fault identification remains a significant challenge for microgrid protection. Overcurrent protection is the most widely used type of protection in the grids.

This directory contains the MATLAB, C++ and R software that implements informME, as well as the BASH wrappers and example submission scripts used to run informME on a Sun Grid Engine (SGE) cluster or ...

This study aims to evaluate the specific characteristics of various multileaf collimator (MLC) position errors that are correlated with the indices using dose distribution. The dose distribution was ...

Inundation mapping is a critical task for damage assessment, emergency management, and prioritizing relief efforts during a flooding event. Remote sensing has been an effective tool for interpreting ...

Intrinsically disordered proteins lack a stable tertiary structure and form dynamic conformational ensembles due to their characteristic physicochemical properties and amino acid composition. They are ...

1 Department of Electrical and Electronic Engineering, Cheran College of Engineering, Karur, India. 2 Department of Electrical and Electronic Engineering, Kamaraj College of Engineering and Technology ...