El-Garaihy, W.H.; Alateyah, A.I.; Shaban, M.; Alsharekh, M.F.; Alsunaydih, F.N.; El-Sanabary, S.; Kouta, H.; El-Taybany, Y.; Salem, H.G.
A Comparative Study of a Machine Learning Approach and Response Surface Methodology for Optimizing the HPT Processing Parameters of AA6061/SiCp Composites. J. Manuf. Mater. Process. 2023, 7, 148.
https://doi.org/10.3390/jmmp7040148
AMA Style
El-Garaihy WH, Alateyah AI, Shaban M, Alsharekh MF, Alsunaydih FN, El-Sanabary S, Kouta H, El-Taybany Y, Salem HG.
A Comparative Study of a Machine Learning Approach and Response Surface Methodology for Optimizing the HPT Processing Parameters of AA6061/SiCp Composites. Journal of Manufacturing and Materials Processing. 2023; 7(4):148.
https://doi.org/10.3390/jmmp7040148
Chicago/Turabian Style
El-Garaihy, Waleed H., Abdulrahman I. Alateyah, Mahmoud Shaban, Mohammed F. Alsharekh, Fahad Nasser Alsunaydih, Samar El-Sanabary, Hanan Kouta, Yasmine El-Taybany, and Hanadi G. Salem.
2023. "A Comparative Study of a Machine Learning Approach and Response Surface Methodology for Optimizing the HPT Processing Parameters of AA6061/SiCp Composites" Journal of Manufacturing and Materials Processing 7, no. 4: 148.
https://doi.org/10.3390/jmmp7040148
APA Style
El-Garaihy, W. H., Alateyah, A. I., Shaban, M., Alsharekh, M. F., Alsunaydih, F. N., El-Sanabary, S., Kouta, H., El-Taybany, Y., & Salem, H. G.
(2023). A Comparative Study of a Machine Learning Approach and Response Surface Methodology for Optimizing the HPT Processing Parameters of AA6061/SiCp Composites. Journal of Manufacturing and Materials Processing, 7(4), 148.
https://doi.org/10.3390/jmmp7040148