Zobrazeno 1 - 10
of 2 925
pro vyhledávání: '"Aatif A"'
Publikováno v:
Case Studies in Thermal Engineering, Vol 64, Iss , Pp 105534- (2024)
Using artificial neural networks, this study sought to investigate the magneto Williamson two-phase nanofluid, taking into account chemical reactions and the motion of gyrotactic motile microorganisms. Fluid flow behavior is influenced by chemical re
Externí odkaz:
https://doaj.org/article/8946d9deed5d4698beb5762453e79c7d
Publikováno v:
AIP Advances, Vol 14, Iss 11, Pp 115002-115002-8 (2024)
The reactive two-dimensional steady laminar boundary layer flow over a wedge is examined in this work, with an emphasis on the mass and heat transfer of nanofluids. This study investigates the effects of three different chemical reactions—Arrhenius
Externí odkaz:
https://doaj.org/article/7087981600134365b9d66ec587227141
Autor:
Taghreed A. Assiri, Muhammad Bilal, Emad E. Mahmoud, Aatif Ali, Joshua Kiddy K. Asamoah, Adnan
Publikováno v:
AIP Advances, Vol 14, Iss 6, Pp 065302-065302-11 (2024)
The combined effect of wedge angle and melting energy transfer on the tangent hyperbolic magnetohydrodynamics nanofluid flow across a permeable wedge is numerically evaluated. Electronic gadgets produce an excessive amount of heat while in operation,
Externí odkaz:
https://doaj.org/article/08d2e1b48f094dbb88a3fb56e8b8380a
Publikováno v:
IEEE Access, Vol 12, Pp 102328-102336 (2024)
This paper proposes the mixed sensitivity constraint H $\infty $ based virtual inertia controller (VIC) design for load frequency control (LFC) of islanded AC microgrid (MG). Owing to the increasing integration of renewable energy sources (RESs) in t
Externí odkaz:
https://doaj.org/article/fdcc9ef569dd4405ab75700efaa76909
Publikováno v:
International Journal of Food and Agricultural Economics, Vol 12, Iss 1, Pp 47-58 (2024)
The purpose of this study is to identify the causal relationship between fishery GDP and the economic growth of Oman. The study analyzes the contribution of fishery production, licenses issued, and fishery exports to the GDP of the fishery sector. Th
Externí odkaz:
https://doaj.org/article/4612d973a39d4f4690cd6a1710f67276
Autor:
Khalid Abdulkhaliq M. Alharbi, Muhammad Bilal, Aatif Ali, Sayed M. Eldin, Amal F. Soliman, Mati Ur Rahman
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The effects of thermal radiation and thermophoretic particles deposition (TPD) on the hybrid nanofluid (HNF) flow across a circling sphere have momentous roles in research and engineering. Such as electrical devices, projectiles, thermal con
Externí odkaz:
https://doaj.org/article/cacf85a7182e4561ac0161ed7fba3a06
Autor:
Najiba Hasan Hamad, Muhammad Bilal, Aatif Ali, Sayed M. Eldin, Mohamed Sharaf, Mati Ur Rahman
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The heat and mass transfer through the third grade fluid (TGF) flow over an inclined elongating sheet with the consequences of magnetic field and chemical reaction is reported. The impact of activation energy, heat source/sink, and thermal r
Externí odkaz:
https://doaj.org/article/32bff1571624451bb8feba1c9f23a06f
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract This study explores the impacts of heat transportation on hybrid (Ag + MgO) nanofluid flow in a porous cavity using artificial neural networks (Bayesian regularization approach (BRT-ANN) neural networks technique). The cavity considered in t
Externí odkaz:
https://doaj.org/article/deb377c514de41a88e0d71c18c95afdb
Autor:
J.G. AL-Juaid, Zeeshan Khan, Aatif Ali, Muhammad Bilal Riaz, Taseer Muhammad, Jana Shafi, Saeed Islam
Publikováno v:
Case Studies in Thermal Engineering, Vol 56, Iss , Pp 104208- (2024)
The present study examines the impact of incorporating soft computing algorithms during neural network training on the evaluation and prediction performance of artificial neural networks. The research centers on a magneto hydrodynamic flow model (RHM
Externí odkaz:
https://doaj.org/article/94af6b34606b43118177677723d4a68c
Autor:
Zeeshan Khan, Wafa F. Alfwzan, Aatif Ali, Nisreen Innab, Samina Zuhra, Saeed Islam, Joshua Kiddy K. Asamoah
Publikováno v:
AIP Advances, Vol 14, Iss 3, Pp 035224-035224-25 (2024)
The Levenberg–Marquardt (LM) backpropagation optimization algorithm, an artificial neural network algorithm, is used in this study to perform integrated numerical computing to evaluate the electromagnetohydrodynamic bioconvection flow of micropolar
Externí odkaz:
https://doaj.org/article/1a201c0ad6b24b46a9655378efa64d31