EurekAlert!

New energy-saving control strategy helps connected plug-in hybrids anticipate front-vehicle behavior

Researchers have developed an energy-saving control strategy for intelligent connected plug-in hybrid electric vehicles that ...
Morning Overview on MSN

Study links rhythmic chanting meditation to distinct brainwave patterns

When a person sits down and begins chanting a mantra aloud, something measurable happens inside the skull. Electrical rhythms ...
IEEE

Advanced SVM and KNN Algorithms for Fault Detection in Power Transformers Based on Dissolved Gas Analysis

Abstract: Power transformers, as oil-immersed equipment, are primarily diagnosed using dissolved gas analysis (DGA), a widely recognized and effective fault detection method. Over time, numerous ...
IEEE

Heart Arrhythmia Detection Using an Adaptive Tree-Supported SVM Algorithm

Abstract: This paper addresses the demand for automatic electrocardiogram (ECG) arrhythmia detection in clinical settings by proposing an Adaptive Tree Support Vector Machine (AT-SVM) algorithm, which ...
eeworldonline

Why inverter designers need to understand space vector modulation

Space vector modulation (SVM) is a sophisticated digital control technique that improves three-phase inverter performance over traditional sinusoidal PWM (SPWM). SVM’s higher DC bus utilization ...
GitHub

svm-model

An automated MATLAB application for brain tumor detection and segmentation from MRI images. This project uses image processing and a Support Vector Machine (SVM) classifier to identify and highlight ...
Frontiers

A support vector machine-based tool for rapid pediatric asthma exacerbation risk assessment: development and nursing application

Childhood asthma poses a significant threat to pediatric health, and traditional assessment methods are often inadequate in efficiency and accuracy. This study aims to develop a rapid assessment tool ...
Frontiers

Assessing the learning potential of freshmen in labor education courses using ordinal features and support vector machine

Artificial intelligence (AI) marks a new wave of the information technology revolution and permeates various sectors as an indispensable tool. Despite its widespread adoption, its application in ...
EurekAlert!

Neuromorphic devices and machine learning combine to make brain-like devices possible

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...