As a heat dome drives dangerous temperatures across much of the United States and renews concerns about extreme heat, USC ...
Motorcycle accidents often leave riders facing serious injuries, expensive medical treatment, insurance disputes, and ...
Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...
Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.
Abstract: Automated helmet detection is essential for verifying compliance with personal protective equipment (PPE) regulations. Real-time detection of helmet use can significantly reduce the risk of ...
Digital addiction (DA) has emerged as a significant global concern, yet traditional diagnostic methods relying on self-report questionnaires face subjective bias and threshold inconsistencies. Recent ...
Abstract: Road safety remains a critical global challenge, with a significant number of motorcycle-related fatalities caused by riders’ non-compliance with helmet regulations. This paper presents an ...
From detecting Salmonella to flagging risky food suppliers, a new review shows how AI is moving food safety research toward faster, more predictive monitoring Review: Artificial intelligence in food ...
Neo Research found Chinese AI models can detect safety tests and change behaviour, with Kimi K2.6 scoring 60 per cent on evaluation awareness. Several Chinese frontier AI models can detect when they ...
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