Investigating the reliability of machine learning algorithms as a sustainable tool for total suspended solid prediction

MLA

Ali Najah Ahmed, et al. “Investigating the Reliability of Machine Learning Algorithms as a Sustainable Tool for Total Suspended Solid Prediction.” Ain Shams Engineering Journal, vol. 12, June 2021, pp. 1607–22. EBSCOhost, https://doi.org/10.1016/j.asej.2021.01.007.

APA

Ali Najah Ahmed, Chow Ming Fai, Wong Jee Khai, Yusuf Essam, Balahaha Hadi Ziyad Sami, Ahmed El-Shafie, & Balahaha Fadi Ziyad Sami. (2021). Investigating the reliability of machine learning algorithms as a sustainable tool for total suspended solid prediction. Ain Shams Engineering Journal, 12, 1607–1622. https://doi.org/10.1016/j.asej.2021.01.007

Chicago

Ali Najah Ahmed, Chow Ming Fai, Wong Jee Khai, Yusuf Essam, Balahaha Hadi Ziyad Sami, Ahmed El-Shafie, and Balahaha Fadi Ziyad Sami. 2021. “Investigating the Reliability of Machine Learning Algorithms as a Sustainable Tool for Total Suspended Solid Prediction.” Ain Shams Engineering Journal 12 (June): 1607–22. doi:10.1016/j.asej.2021.01.007.