AI ensemble tames messy landslide data to predict how far slopes will run
Researchers compiled 32,714 landslide records and built a selective ensemble machine learning framework that stabilizes runout distance prediction and reveals ...
Researchers compiled 32,714 landslide records and built a selective ensemble machine learning framework that stabilizes runout distance prediction and reveals ...
A new event-based machine learning approach reframes vineyard mildew forecasting as the prediction of disease-risk episodes rather than daily status ...
Researchers trained a natural language processing model to automatically derive neurological outcome scores for comatose cardiac arrest patients from clinical ...
A systematic review of 101 studies maps how artificial intelligence could support older adults living at home, but finds real-world ...
A new review argues that artificial intelligence and non-destructive spectroscopy can overcome the chemical and biological limitations of traditional antioxidant ...
A Penn State-led study in the Journal of Marketing Research presents a framework that uses AI to map and rank ...
Researchers have built ChatTracer, a lightweight intrusion detection framework that fine-tunes a compact large language model to classify wireless sensor ...
Researchers in India have combined moth-inspired optimization, differential evolution and attention-based TabNet to predict vehicle maintenance failures with 97.6 percent ...
Researchers have built an epidemiology-guided machine learning framework that injects SEIR-simulated outbreaks into real Swedish symptom surveillance data to honestly ...
A hybrid XGBoost-based machine learning framework has distilled Crohn's disease risk prediction down to just 15 genetic variants, achieving over ...
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© 2025 Scienmag - Science Magazine