Physics World

AI sniffs out tuberculosis in breath’s chemical signature

Machine learning decodes the complex chemical signatures in human breath to deliver rapid, non-invasive tuberculosis diagnoses ...
Open Heart

BMI-based prediction models for short-term and long-term mortality following coronary artery bypass grafting using the MIMIC-IV database: a retrospective cohor…

Objective This study aims to evaluate the relationship between obesity (measured by Body Mass Index (BMI)) and postoperative ...

Advancing Neurological Disease Prediction through Machine Learning Techniques

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
The New York Times

The Best Elliptical Machine

We independently review everything we recommend. We may make money from the links on our site. Learn more› By Seth Berkman Seth Berkman is a fitness writer. He incorporates testing into everyday tasks ...
Frontiers

Optimizing myopia prediction in children and adolescents using machine learning: a multi-factorial risk assessment model

Most previous studies on myopia in children and adolescents have primarily focused on genetic and environmental factors. This study aimed to explore modifiable behavioral, sociodemographic, and ...
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 ...
IEEE

Quantum Machine Learning with Cyber Security Algorithm and Data Security A Comparative Analysis of SVM and QSVM

Abstract: Quantum Machine Learning (QML) emerges as a particularly promising field at the combination of quantum computing and machine learning techniques, aiming to enhance performance, efficiency, ...
IEEE

Support Vector Machine-Integrated High-Definition MCPWM Technique for Improving Power Quality in Multilevel Inverters

Abstract: What if machine learning could predict inverter harmonics before prototyping? Conventional pulse width modulation (PWM) techniques in cascaded H-bridge (CHB) multilevel inverters (MLIs) ...
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 ...