Order Article Reprints

Al-Taai SR, Azize NM, Thoeny ZA, Imran H, Bernardo LFA, Al-Khafaji Z. XGBoost Prediction Model Optimized with Bayesian for the Compressive Strength of Eco-Friendly Concrete Containing Ground Granulated Blast Furnace Slag and Recycled Coarse Aggregate. Applied Sciences. 2023; 13(15):8889. https://doi.org/10.3390/app13158889

Al-Taai, Salwa R., Noralhuda M. Azize, Zainab Abdulrdha Thoeny, Hamza Imran, Luís F. A. Bernardo, and Zainab Al-Khafaji. 2023. "XGBoost Prediction Model Optimized with Bayesian for the Compressive Strength of Eco-Friendly Concrete Containing Ground Granulated Blast Furnace Slag and Recycled Coarse Aggregate" Applied Sciences 13, no. 15: 8889. https://doi.org/10.3390/app13158889

Al-Taai, S. R., Azize, N. M., Thoeny, Z. A., Imran, H., Bernardo, L. F. A., & Al-Khafaji, Z. (2023). XGBoost Prediction Model Optimized with Bayesian for the Compressive Strength of Eco-Friendly Concrete Containing Ground Granulated Blast Furnace Slag and Recycled Coarse Aggregate. Applied Sciences, 13(15), 8889. https://doi.org/10.3390/app13158889