Tag: XGBoost

Researchers have developed a hybrid CNN-XGBoost machine learning framework that sharply improves satellite rainfall estimates over the data-sparse interior of ...

A new study combining econometrics and machine learning finds that coal is the dominant driver of PM2.5 pollution across G7 ...

Researchers have built a unified physics-informed AI framework that couples fracture mechanics with explainable machine learning to predict corrosion-fatigue life, ...

Researchers combined LightGBM, Random Forest, and XGBoost models with docking and molecular dynamics simulations to identify three novel serotonin transporter ...

Researchers in Bangladesh have released a 20,000-comment dataset for detecting religious aggression in Bangla and shown that a lexicon-boosted XGBoost ...

Researchers have developed a PSO-optimized stacking ensemble that estimates three-phase inverter voltages sensorlessly with errors below 1.6 percent across a ...

A portable electrochemical sensor combined with machine learning can identify Arabica and Robusta coffee and predict blend ratios within minutes, ...

A 25-year satellite analysis of the China–Russia Xingkai Lake Basin reveals a 44.9 percent wetland loss, a 16.5 percent decline ...

A 24-year satellite analysis of the Beijing–Tianjin–Hebei region shows urban blue spaces shrinking and fragmenting, with population and vegetation factors ...

By tracking thousands of cells in live Xenopus embryos and applying machine learning, researchers show that cell shape, position, and ...