Cite
Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms
MLA
Balahaha Hadi Ziyad Sami, et al. “Feasibility Analysis for Predicting the Compressive and Tensile Strength of Concrete Using Machine Learning Algorithms.” Case Studies in Construction Materials, vol. 18, no. e01893-, July 2023. EBSCOhost, https://doi.org/10.1016/j.cscm.2023.e01893.
APA
Balahaha Hadi Ziyad Sami, Balahaha Fadi Ziyad Sami, Pavitra Kumar, Ali Najah Ahmed, Goodnews E. Amieghemen, Muhammad M. Sherif, & Ahmed El-Shafie. (2023). Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms. Case Studies in Construction Materials, 18(e01893-). https://doi.org/10.1016/j.cscm.2023.e01893
Chicago
Balahaha Hadi Ziyad Sami, Balahaha Fadi Ziyad Sami, Pavitra Kumar, Ali Najah Ahmed, Goodnews E. Amieghemen, Muhammad M. Sherif, and Ahmed El-Shafie. 2023. “Feasibility Analysis for Predicting the Compressive and Tensile Strength of Concrete Using Machine Learning Algorithms.” Case Studies in Construction Materials 18 (e01893-). doi:10.1016/j.cscm.2023.e01893.