Devdiscourse

AI, zero trust and threat hunting shape next phase of global cybersecurity defense

Read more about AI, zero trust and threat hunting shape next phase of global cybersecurity defense on Devdiscourse ...

Smarter soils: machine learning reveals lead hotspots beneath our feet

FAYETTEVILLE, GA, UNITED STATES, May 26, 2026 /EINPresswire.com/ -- Lead (Pb) contamination in agricultural soils is an ...
AHA/ASA Journals

Artificial Intelligence in Peripheral Artery Disease: A Science Advisory From the American Heart Association

Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...
Investopedia

Algorithmic Trading: An In-Depth Guide to Strategies and Challenges

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...
IEEE

A Relative Analysis of Enhanced Machine Learning Algorithm SVM & Decision Tree to Predict Smart Grid Stability

Abstract: The demand for electricity has been rapidly increasing nowadays. So, it is necessary to distribute power to consumers efficiently. Smart grids (SG) can reduce the losses in the distribution ...
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

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 ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...
GitHub

Prediction of stroke using Support Vector Machine (SVM) and Decision Tree (DTREE).

The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of ...