Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ismail R. Najjar"'
Autor:
Ismail R. Najjar, Ayman M. Sadoun, Adel Fathy, Ahmed W. Abdallah, Mohamed Abd Elaziz, Marwa Elmahdy
Publikováno v:
Lubricants, Vol 10, Iss 11, p 277 (2022)
In this paper, we present a newly modified machine learning model that employs a long short-term memory (LSTM) neural network model with the golden jackal optimization (GJO) algorithm to predict the tribological performance of Cu–Al2O3 nanocomposit
Externí odkaz:
https://doaj.org/article/132bbc7570824ee3952ec08e7299f480
Autor:
Ayman M. Sadoun, Ismail R. Najjar, Ghazi S. Alsoruji, M. S. Abd-Elwahed, Mohamed Abd Elaziz, Adel Fathy
Publikováno v:
Mathematics, Vol 10, Iss 8, p 1266 (2022)
This paper presents a machine learning model to predict the effect of Al2O3 nanoparticles content on the wear rates in Cu-Al2O3 nanocomposite prepared using in situ chemical technique. The model developed is a modification of the random vector functi
Externí odkaz:
https://doaj.org/article/3044d00669364971addb09c6909e2bad
Publikováno v:
Mathematics, Vol 10, Iss 7, p 1050 (2022)
This paper presents a machine learning model to predict the effect of Al2O3 nanoparticle content on the coefficient of thermal expansion in Cu-Al2O3 nanocomposites prepared using an in situ chemical technique. The model developed is a modification of
Externí odkaz:
https://doaj.org/article/ef61b6f604cd4dc08a64d7b42f14aa01