Al-Taai, S.R.; Azize, N.M.; Thoeny, Z.A.; Imran, H.; Bernardo, L.F.A.; 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. Appl. Sci. 2023, 13, 8889.
https://doi.org/10.3390/app13158889
AMA Style
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
Chicago/Turabian Style
Al-Taai, Salwa R., Noralhuda M. Azize, Zainab Abdulrdha Thoeny, Hamza Imran, LuÃs 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
APA Style
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