AI Stacking Model Pinpoints Copper Deposits in Iran With Striking Accuracy
A multi-level stacking ensemble of five machine learning models mapped porphyry copper-gold prospectivity in northwest Iran with an AUC of ...
A multi-level stacking ensemble of five machine learning models mapped porphyry copper-gold prospectivity in northwest Iran with an AUC of ...
Researchers in Vietnam used machine learning to optimize an epoxy nanocomposite coating that is simultaneously fire-safe, mechanically strong, electrically conductive, ...
Researchers trained ElasticNet and random forest models on 72 anatomical cases to predict patient-specific mitral valve leaflet dimensions for personalized ...
Researchers combined statistics, machine learning, and GIS to predict water quality in Dhaka's heavily polluted Turag River with over 90 ...
Researchers have built a fully open-source KNIME machine-learning workflow that curates thousands of PD-L1 bioactivity records and reliably predicts inhibitor ...
A new systematic review shows that machine learning, particularly tree-based ensembles and Random Survival Forests, can reliably predict water pipeline ...
Researchers have developed an autonomous blockchain-based system that improves intrusion detection accuracy while cutting latency and energy consumption in fog ...
A five-year study of nine commodities in Maharashtra found that ensemble machine learning models beat seasonal benchmarks but could not ...
Researchers trained interpretable machine learning models on pandemic-era survey data to classify healthcare workers by psychological resilience, finding stress, depression, ...
A new field study in semi-arid southern India shows forest soils emit up to thirty times more CO₂ than fallow ...
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© 2025 Scienmag - Science Magazine