Machine learning detects more than 60,000 earthquakes during 2025 Santorini sequence

The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...

Tracing anglers in the Gulf Coast: New machine learning tools reveal when, where and how anglers fish

The Gulf Coast is recognized worldwide for its exceptional fishing opportunities, offering anglers a wide variety of species ...
Edex Live on MSN

How apps are changing how everyday brain activity is studied

Smartphone apps are changing how we study everyday brain activity ...
IEEE

Driver Drowsiness Detection using Machine Learning and AWS IoT

Abstract: Driver drowsiness is a critical factor contributing to road fatalities, with global statistics indicating that approximately 1.19 million lives are lost annually due to road accidents.
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 ...