Cameras Learn to Read a Cow’s Spine, Tail-Head and Body Shape to Score Its Condition
A multi-region computer vision framework uses YOLO detection, depth estimation and explainable AI to extract anatomical features for automated body ...
A multi-region computer vision framework uses YOLO detection, depth estimation and explainable AI to extract anatomical features for automated body ...
A machine learning analysis of 799 adolescents identifies stress level, social media duration, and notification frequency as the strongest predictors ...
An interpretable machine-learning framework trained on electro-thermal finite-element simulations predicts hidden temperature rise in bolted switchgear busbar joints, with XGBoost ...
A unified empirical audit of five blockchain and DeFi data sources finds a Gini coefficient of 0.985 for protocol-level Total ...
A new explainable reinforcement learning framework called XEACH extends the lifetime of smart-city IoT sensor networks by up to 88 ...
Researchers trained an explainable machine learning pipeline that predicts smartphone addiction from behavioral usage data with 97.8 percent accuracy, identifying ...
A multicentre study of 607 Chinese psychiatric nurses used interpretable machine learning to identify perceived pressure, age, professional identity, depression ...
A unified explainable AI framework applied to Chicago, Los Angeles, and New York City shows XGBoost best detects crime hotspots ...
Researchers at Banasthali Vidyapith developed an explainable machine learning system that predicts university student academic performance with an R-squared of ...
A study of 5,580 ICU patients with coronary heart disease shows that combining the stress hyperglycemia ratio with a laboratory-based ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine