AI Study Pinpoints the Strongest Predictors of Pornography Use Among Spanish Adolescents
A study of more than 33,000 Spanish adolescents using machine learning and logistic regression identifies sex, problematic internet use, substance ...
A study of more than 33,000 Spanish adolescents using machine learning and logistic regression identifies sex, problematic internet use, substance ...
A unified explainable AI framework applied to Chicago, Los Angeles, and New York City shows XGBoost best detects crime hotspots ...
An XGBoost artificial intelligence model trained on Swedish neurointensive care data has successfully predicted dangerous intracranial pressure surges in traumatic ...
A new panel study of 35 African economies from 1991 to 2024 finds that the tax revenue-growth relationship flips from ...
A new hybrid AI framework combines biomedical language models, sentiment scoring, and ensemble learning to detect emotional vulnerability in cancer ...
Researchers combined positive-unlabeled learning, spatial block cross-validation, bootstrap uncertainty, and conformal calibration to produce a confidence-aware nickel prospectivity map of ...
Researchers have built a machine learning framework with an interactive interface that estimates full unsaturated soil hydraulic conductivity curves in ...
Researchers in China have developed a label-free temporal weighting method that fuses multispectral drone imagery from three wheat growth stages, ...
Researchers in India combined µEDM drilling experiments on titanium with benchmarked machine learning models, explainable AI, and a surrogate-based inverse ...
A new study combining stochastic life-cycle assessment with XGBoost and SHAP machine learning identifies a 41.3-kilometer economic carbon radius and ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine