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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

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

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