AI Model Cuts Greenhouse Water Use by 79 Percent Under Supply Restrictions
Researchers have developed an AI-driven optimization framework that cuts greenhouse irrigation water use by up to 79 percent while keeping ...
Researchers have developed an AI-driven optimization framework that cuts greenhouse irrigation water use by up to 79 percent while keeping ...
Researchers have developed a transformer-based multimodal AI model that accurately identifies sarcopenia and severe sarcopenia in gastric cancer patients using ...
A retrospective study of 473 patients shows that admission D-dimer levels combined with CT-measured total bleeding volume and interpretable machine ...
A five-year study of nine commodities in Maharashtra found that ensemble machine learning models beat seasonal benchmarks but could not ...
Researchers developed an eight-variable XGBoost machine learning model that predicts ICU mortality in spine fracture patients as accurately as the ...
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 ...
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© 2025 Scienmag - Science Magazine