Abul Kashem
- (2024): Prediction of compressive strength of high-performance concrete using optimization machine learning approaches with SHAP analysis. Dans: Journal of Building Pathology and Rehabilitation, v. 9, n. 2 (29 mai 2024).
- (2024): Alkali-activated binder concrete strength prediction using hybrid-deep learning along with shapely additive explanations and uncertainty analysis. Dans: Construction and Building Materials, v. 435 (juillet 2024).
- (2024): Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).
- (2024): Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric analyses. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).
- (2024): A comparative study of machine learning models for construction costs prediction with natural gradient boosting algorithm and SHAP analysis. Dans: Asian Journal of Civil Engineering, v. 25, n. 4 (février 2024).
- (2024): Hybrid machine learning approach to prediction of the compressive and flexural strengths of UHPC and parametric analysis with shapley additive explanations. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).
- (2024): Synergistic effects of supplementary cementitious materials and compressive strength prediction of concrete using machine learning algorithms with SHAP and PDP analyses. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).
- (2023): Prediction of high-performance concrete compressive strength using deep learning techniques. Dans: Asian Journal of Civil Engineering, v. 25, n. 1 (juillet 2023).
- (2023): Sustainable of rice husk ash concrete compressive strength prediction utilizing artificial intelligence techniques. Dans: Asian Journal of Civil Engineering, v. 25, n. 2 (octobre 2023).
- (2023): Compressive strength prediction of high-strength concrete using hybrid machine learning approaches by incorporating SHAP analysis. Dans: Asian Journal of Civil Engineering, v. 24, n. 8 (juin 2023).
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