Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Eman Salem Alaidarous"'
Autor:
Jawaher Lafi Aljohani, Eman Salem Alaidarous, Muhammad Asif Zahoor Raja, Muhammed Shabab Alhothuali, Muhammad Shoaib
Publikováno v:
Ain Shams Engineering Journal, Vol 12, Iss 4, Pp 4133-4143 (2021)
In the artificial neural networks domain, the Levenberg-Marquardt technique is novel with convergent stability and generates a numerical solution of the wire coating system for Sisko fluid flow (WCS-SFF) through regression plots, histogram representa
Externí odkaz:
https://doaj.org/article/8b832e40eac440a4adf09b8b919efaa6
Autor:
Maryam Mabrook Almalki, Eman Salem Alaidarous, Dalal Adnan Maturi, Muhammad Asif Zahoor Raja, Muhammad Shoaib
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract In this study, the unsteady squeezing flow between circular parallel plates (USF-CPP) is investigated through the intelligent computing paradigm of Levenberg–Marquard backpropagation neural networks (LMBNN). Similarity transformation intro
Externí odkaz:
https://doaj.org/article/36dd863941894678935a831deb6f6823
Autor:
Jawaher Lafi Aljohani, Eman Salem Alaidarous, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Muhammed Shabab Alhothuali
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-32 (2021)
Abstract In the current study, a modern implementation of intelligent numerical computational solver introduced using the Levenberg Marquardt algorithm based trained neural networks (LMA-TNN) to analyze the wire coating system (WCS) for the elastic-v
Externí odkaz:
https://doaj.org/article/343765989dce4b12959ae4fd897e4c71
Autor:
Maryam Mabrook Almalki, Eman Salem Alaidarous, Dalal Adnan Maturi, Muhammad Asif Zahoor Raja, Muhammad Shoaib
Publikováno v:
IEEE Access, Vol 8, Pp 227340-227348 (2020)
In this paper, the computational strength in terms of soft computing neural networks backpropagated with the efficacy of Levenberg-Marquard training (NN-BLMT) is presented to study the squeezing flow with the heat transfer model (SF-HTM). The governi
Externí odkaz:
https://doaj.org/article/362b7b0ffd9f44998f0e44b685e8abad
Autor:
Afnan Hossain Nagoor, Eman Salem Alaidarous, Muhammad Touseef Sabir, Muhammad Shoaib, Muhammad Asif Zahoor Raja
Publikováno v:
AIP Advances, Vol 10, Iss 2, Pp 025016-025016-10 (2020)
In this study, numerical treatment with the Lobatto IIIA technique is presented to analyze the dynamics of Darcy–Forchheimer flow for carbon nanotubes (CNTs) in a revolving frame. Stretching the surface causes fluid flow and the model is implemente
Externí odkaz:
https://doaj.org/article/089a80cde791483e9675b32dce5ce3fd