Saddiqa Hussain

ORCID: 0000-0001-5258-1108
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About
Contact & Profiles
Research Areas
  • Nanofluid Flow and Heat Transfer
  • Heat Transfer Mechanisms
  • Fluid Dynamics and Turbulent Flows
  • Heat Transfer and Optimization
  • Lattice Boltzmann Simulation Studies

Abdul Wali Khan University Mardan
2021-2024

This research focuses on using a type of advanced computer program called artificial neural networks (ANNs) the Levenberg–Marquardt backpropagation technique (LMBPT-NNs) to stimulate behavior bioconvective effects heat and mass transport in non-Newtonian chemically Williamson nanofluid through stretched surface (BEHMT-NNCRWNF-SS). flow refers specially engineered fluids with nanoparticles dispersed within them moving when subjected external forces. Understanding their is crucial effectively...

10.1080/10407782.2024.2341282 article EN Numerical Heat Transfer Part A Applications 2024-04-17

In this paper, we focus to design intelligence numerical computing through artificial neural networks (ANNs) which are backpropagated with Levenberg–Marquard technique (NN-BLMT) for the theoretical approach of physical aspects heat generation in second-grade fluid (PA-HG-SGF) due Riga plate. The plate (RP) is known as interaction stimulus, consists electrodes and enduring electromagnets that located on plane surface. purpose NN-BLMT learn weight basis optimization fitness value based...

10.1080/17455030.2022.2028933 article EN Waves in Random and Complex Media 2022-02-10

Abstract This paper explains the importance and benefits of using AI in fluid mechanics, emphasizing its capability finding solution flow systems through iterative optimization techniques. It explores how can enhance understanding dynamics to improve engineering processes. In presented studies, heat mass transport Casson nanofluidic model on a nonlinear slanted extending sheet (HMT‐CNFM) via AI‐based Levenberg Marquard methodology with backpropagated trained neural networks (TNN‐BLMM) is...

10.1002/zamm.202300224 article EN ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik 2023-12-15

Applications of artificial intelligence (AI) via soft computing procedures have attracted the attention researchers due to their effective modeling, simulation procedures, and detailed analysis. In this article, designing through a neural network that is backpropagated with Levenberg-Marquardt method (NN-BLMM) study Cattaneo-Christov heat flow model at mixed impulse stagnation point (CCHFM-MISP) past Riga plate investigated. The original CCHFM-MISP in terms PDEs converted into non-linear...

10.1016/j.heliyon.2023.e22765 article EN cc-by Heliyon 2023-11-25
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