Deep learning multilayer architecture for analysis of three-dimensional Eyring-Powell nanofluid flow subject to viscous dissipation and joule heating

Deep learning multilayer architecture for analysis of three-dimensional Eyring-Powell nanofluid flow subject to viscous dissipation and joule heating

Artificial intelligence has enhanced complex systems modeling by achieving exceptional precision and effectiveness. The purpose of this paper is to use the Deep Learning Multi-Layer Soft Computing paradigm (DLML-SCP) to evaluate the model 3D flow dynamics of Eyring-Powell nanofluids subject to visco...

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Bibliographic Details
Main Authors: Zahoor Shah, Muflih Alhazmi, Maryam Jawaid, Nafisa A. Albasheir, Mohammed M.A. Alma Zah, Nashwan Adnan Othman, Waqar Azeem Khan
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Artificial intelligence
Deep learning
Neural network
Eyring-powell nanofluid
Soft computing paradigm
Online Access:http://www.sciencedirect.com/science/article/pii/S259012302500917X
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