AI model improves flood forecasting with higher accuracy than current methods

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...

Clustering-based AI forecasts river water levels using just a few long records

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...
Tech Xplore

Machine learning improves accuracy, reliability and privacy in modern positioning systems

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...
Australasian Paint & Panel

Detecting dangerous driving through AI facial analysis

Using a single 3D deep learning model, researchers from Edith Cowan University (ECU) are able to detect three major causes of road accidents simultaneously – blood alcohol concentration, fatigue and ...
Tech Xplore

Facing the music: Detecting dangerous driving through AI facial analysis

Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers ...
IEEE

Driver Drowsiness Detection Using Machine Learning and Computer Vision Techniques

Abstract: Driver drowsiness is a significant cause of road accidents, making early detection essential for improving traffic safety. This paper proposes a vision-based software system for detecting ...
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 ...