Sadoun, A.M.; Najjar, I.R.; Alsoruji, G.S.; Abd-Elwahed, M.S.; Elaziz, M.A.; Fathy, A.
Utilization of Improved Machine Learning Method Based on Artificial Hummingbird Algorithm to Predict the Tribological Behavior of Cu-Al2O3 Nanocomposites Synthesized by In Situ Method. Mathematics 2022, 10, 1266.
https://doi.org/10.3390/math10081266
AMA Style
Sadoun AM, Najjar IR, Alsoruji GS, Abd-Elwahed MS, Elaziz MA, Fathy A.
Utilization of Improved Machine Learning Method Based on Artificial Hummingbird Algorithm to Predict the Tribological Behavior of Cu-Al2O3 Nanocomposites Synthesized by In Situ Method. Mathematics. 2022; 10(8):1266.
https://doi.org/10.3390/math10081266
Chicago/Turabian Style
Sadoun, Ayman M., Ismail R. Najjar, Ghazi S. Alsoruji, M. S. Abd-Elwahed, Mohamed Abd Elaziz, and Adel Fathy.
2022. "Utilization of Improved Machine Learning Method Based on Artificial Hummingbird Algorithm to Predict the Tribological Behavior of Cu-Al2O3 Nanocomposites Synthesized by In Situ Method" Mathematics 10, no. 8: 1266.
https://doi.org/10.3390/math10081266
APA Style
Sadoun, A. M., Najjar, I. R., Alsoruji, G. S., Abd-Elwahed, M. S., Elaziz, M. A., & Fathy, A.
(2022). Utilization of Improved Machine Learning Method Based on Artificial Hummingbird Algorithm to Predict the Tribological Behavior of Cu-Al2O3 Nanocomposites Synthesized by In Situ Method. Mathematics, 10(8), 1266.
https://doi.org/10.3390/math10081266
