Multilayer deep-learning intelligent computing for the numerical analysis of unsteady heat and mass transfer in MHD carreau nanofluid model
2024 · Case Studies in Thermal Engineering · 23 citations
https://doi.org/10.1016/j.csite.2024.105369
Z
Zahoor Shah
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65
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871
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17
h-index
32
i10-index
Zahoor Shah is an academic researcher from COMSATS University Islamabad. The author has contributed to research in topics: Nanofluid Flow and Heat Transfer & Heat Transfer Mechanisms & Fluid Dynamics and Turbulent Flows. The author has an h-index of 17, co-authored 56 publications.
ORCID: 0000-0001-8708-8401Papers by this author
worksSupervised Stochastic Approach for computational analysis of convectively heated magnetized nanofluid flow with bioconvection aspects
2024 · Alexandria Engineering Journal · 18 citations
https://doi.org/10.1016/j.aej.2024.04.039
Deep learning multilayer architecture for analysis of three-dimensional Eyring-Powell nanofluid flow subject to viscous dissipation and joule heating
2025 · Results in Engineering · 12 citations
https://doi.org/10.1016/j.rineng.2025.104842
Stochastic computing with Levenberg–Marquardt neural networks for the study of radiative transportation phenomena in three-dimensional Carreau nanofluid model subjected to activation energy and porous medium
2024 · Chemical Engineering Journal Advances · 7 citations
https://doi.org/10.1016/j.ceja.2024.100639
Artificial intelligence analysis of thermal energy for convectively heated ternary nanofluid flow in radiated channel considering viscous dissipations aspects
2025 · Engineering Science and Technology an International Journal · 3 citations
https://doi.org/10.1016/j.jestch.2025.101955
Finite difference simulation for numerical investigation of Powell–Eyring hybrid nanofluid with thermal radiation and viscous dissipation effects
2025 · Journal of Radiation Research and Applied Sciences · 3 citations
https://doi.org/10.1016/j.jrras.2025.101798
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