Shuyan Chen

An interpretable XGBoost-SHAP machine learning model for reliable prediction of mechanical properties in waste foundry sand-based eco-friendly concrete

Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods

Estimation of real-driving emissions for buses fueled with liquefied natural gas based on gradient boosted regression trees