Stacked machine learning model predicts concrete strength with high accuracy
A hybrid stacking ensemble of XGBoost, LightGBM and CatBoost with domain-informed features predicts concrete compressive strength with an R² of ...
A hybrid stacking ensemble of XGBoost, LightGBM and CatBoost with domain-informed features predicts concrete compressive strength with an R² of ...
A new GRU–TimeMixerKAN deep learning model achieved the lowest prediction errors across three reactivated landslides in China's Three Gorges Reservoir ...
A benchmark of six machine learning models on 1,849 reinforced concrete beams shows LightGBM beating ACI and CSA design codes, ...
Researchers in Iran trained an optimized gradient boosting model on 419 tested deep beams and used SHAP analysis to make ...
Researchers in India report that a Bayesian-optimized decision tree detects black hole attacks in RPL-based IoT networks with 98.71% accuracy, ...
Researchers combined Bayesian optimization, machine learning and explainable AI to identify silver-cobalt bimetallic nanoparticles that reduce nearly all p-nitrophenol in ...
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© 2026 Scienmag - Science Magazine