Tag: SHAP analysis

Researchers trained XGBoost machine learning models on automated finite element simulations to predict how special threaded connections respond to combined ...

A new study in Nigeria's Guinea Savanna shows that machine learning algorithms, led by Cubist, dramatically outperform traditional Ordinary Kriging ...

Researchers used explainable machine learning and multi-objective optimization to design a biodegradable Zn–Mg–Li alloy that overcomes the strength–ductility trade-off for ...

Researchers used machine learning and dense field data to map groundwater levels and carbon dioxide emissions at high resolution across ...

Researchers in Beijing developed an expert-guided large language model that extracts interpretable speech-based biomarkers of psychological resilience in major depressive ...

Researchers have combined verified finite element simulations with machine learning to predict fretting dissipated energy and slip regimes in under ...

An interpretable machine learning framework using Random Forest and SHAP analysis has delivered reliable permeability predictions for the tight, heterogeneous ...

A hybrid experimental, CFD-DEM, and neural network framework quantifies how fish feed pellets break during suction pneumatic conveying and identifies ...

Researchers in India developed a machine learning framework that predicts uranium contamination in groundwater from routine water quality measurements, cutting ...

A study of over 12,000 hospitalized patients with type 2 diabetes found that a blood-test-based estimate of skeletal muscle mass ...