AI Predicts EV Charging Demand With 97.9% Accuracy From Real Grid Data
Researchers in Türkiye used a hybrid stacking ensemble model and real distribution grid data to forecast hourly electric vehicle charging ...
Researchers in Türkiye used a hybrid stacking ensemble model and real distribution grid data to forecast hourly electric vehicle charging ...
Researchers developed optimized hybrid XGBoost models that accurately predict blast-induced flyrock distances at Iran's Sungun Copper Mine while identifying powder ...
Researchers in Croatia show that threshold-calibrated machine learning models built on routine clinical and laboratory data can identify a small ...
A large MIMIC-IV analysis found that elevated serum osmolality was independently associated with inflammatory bowel disease in hospitalized patients with ...
Researchers in China built an interpretable Random Forest model that predicts which women with diminished ovarian reserve will progress to ...
A study of 1,008 patients in Tianjin identifies three distinct craving profiles in adolescent-onset new psychoactive substance use disorder and ...
A new study of 354,565 freight shipments shows that prompted GPT-4o ranks cancellation risk as well as boosted trees yet ...
An interpretable machine-learning study of Shahu Lake shows that the drivers of algal blooms shift with the seasons, from long-term ...
A 25-year monitoring record and machine learning forecasts reveal shifting heavy metal contamination in Moroccan Mediterranean river sediments, with lead ...
An interpretable machine learning model trained on 20 years of rural Spanish registry data outperforms logistic regression in predicting 30-day ...
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© 2026 Scienmag - Science Magazine