Machine learning offers growers a new tool for predicting crop water use

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
IEEE

A Time-Efficient Deep Learning Approach for Real-Time EEG-Based Driver Drowsiness Detection

Abstract: Drowsy driving significantly contributes to road accidents globally, underscoring the need for reliable real-time drowsiness detection systems. While various approaches exist, ...
eWeek

Best AI Tools for Better Sleep

Explore the best AI tools for a more enjoyable sleep, from personalized trackers to anti-snore technology and smart wake-up ...
IEEE

Advancing Road Safety: A CNN-Based Semi-Supervised Learning Approach for Drivers' Drowsiness Detection

The National Safety Council (NSC) has reported that each year, driver fatigue is responsible for 100,000 accidents, 71,000 injuries, and 1,550 fatalities, often manifesting as drowsiness. Most current ...