Tag: XGBoost

Researchers combined statistics, machine learning, and GIS to predict water quality in Dhaka's heavily polluted Turag River with over 90 ...

An Indian research team has combined a gold-coated photonic crystal fiber SPR sensor with a hybrid CNN-SVM-XGBoost framework that classifies ...

Researchers have developed an explainable multimodal machine-learning model that predicts with over 81 percent accuracy whether people with mild cognitive ...

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 ...