A stacking ensemble machine learning framework combining three diverse base algorithms and Lasso regression accurately predicts the compressive strength of ...
A machine learning study shows that waste marble dust can replace up to 32 percent of the cement in semi-flexible ...
Researchers in Iran trained an optimized gradient boosting model on 419 tested deep beams and used SHAP analysis to make ...
Researchers used Differential Evolution-optimized machine learning to predict the compressive strength of fly ash and waste glass powder geopolymers with ...
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