Explainable Ensemble Learning Models for the Rheological Properties of Self-Compacting Concrete
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- Quang Hung Nguyen & Hai-Bang Ly & Lanh Si Ho & Nadhir Al-Ansari & Hiep Van Le & Van Quan Tran & Indra Prakash & Binh Thai Pham, 2021. "Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-15, February.
- Hamed Safayenikoo & Fatemeh Nejati & Moncef L. Nehdi, 2022. "Indirect Analysis of Concrete Slump Using Different Metaheuristic-Empowered Neural Processors," Sustainability, MDPI, vol. 14(16), pages 1-16, August.
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- Celal Cakiroglu & Gebrail Bekdaş, 2023. "Predictive Modeling of Recycled Aggregate Concrete Beam Shear Strength Using Explainable Ensemble Learning Methods," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
- Yaren Aydın & Ümit Işıkdağ & Gebrail Bekdaş & Sinan Melih Nigdeli & Zong Woo Geem, 2023. "Use of Machine Learning Techniques in Soil Classification," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
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Keywords
plastic viscosity; self-compacting concrete; yield stress; V-funnel flow; slump flow; L-Box; XGBoost; LightGBM; CatBoost; SHAP;All these keywords.
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