Accurately predicting traffic risks at urban intersections is essential for improving road safety. While traditional models use data sources like road traffic conditions, geometry, and signals, they ...

Motor imagery (MI), an important category in electroencephalogram (EEG) research, often intersects with scenarios demanding low energy consumption, such as portable medical devices and isolated ...

AI and drones are reshaping wildlife conservation with smarter tracking, species monitoring, and anti-poaching tech for endangered species.