AI for early detection of self-harm behavior in psychiatric wards falters in real-world conditions, finds study

A research team led by Professor Hyun Ghang Jeong from the Department of Psychiatry at Korea University College of Medicine ...
Edex Live on MSN

How apps are changing how everyday brain activity is studied

Smartphone apps are changing how we study everyday brain activity ...
EurekAlert!

Smarter machine-learning models improve phishing website detection

Febraury 10, 2026—Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New machine-learning tools could help organisations flag more ...
IEEE

Comprehensive Drowsiness Detection System Using OpenCV, Machine Learning, and Heart Rate Monitoring

Abstract: The face, an essential part of the body, communicates a vast array of information. When a driver is fatigued, their facial expressions, along with the frequency of blinking and yawning, ...
IEEE

Single-Channel Wearable EEG Using Low-Power Qvar Sensor and Machine Learning for Drowsiness Detection

Abstract: This work deals with the fabrication and validation of an innovative wearable single-channel electroencephalogram (EEG) system, designed for real-time monitoring of specific brain activity.
The New York Times

48 Hours Without A.I.

It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence. It’s everywhere, as the author learned the ...
ahajournals.org

Abstract Fri013: AI-Driven Gait Classification for Peripheral Artery Disease (PAD) Detection Using Machine Learning and Nonlinear Gait Dynamics

Introduction: Peripheral Artery Disease (PAD) is a progressive vascular disorder impairing mobility, raising fall risk, and reducing quality of life. Early detection is key to preventing amputations ...
Scientific Research Publishing

Chirra, V., ReddyUyyala, S. and KishoreKolli, V. (2019) Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State.

ABSTRACT: This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from ...
Scientific Research Publishing

Driver Drowsiness Detection Based on Eye Blinking Using Convolutional Neural Network Approach ()

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...