Ohmic heating effects and entropy generation for nanofluidic system of Ree-Eyring fluid: Intelligent computing paradigm

M Shoaib, G Zubair, KS Nisar, MAZ Raja… - … Communications in Heat …, 2021 - Elsevier
In present study, the nano-material flow of Ree-Eyring fluid model (NF-REFM) is examined
by utilizing the technique of Levenberg Marquardt with backpropagated neural networks …

[HTML][HTML] A new adaptive nonlinear numerical method for singular and stiff differential problems

S Qureshi, MA Akanbi, AA Shaikh, AS Wusu… - Alexandria Engineering …, 2023 - Elsevier
In this work, a new adaptive numerical method is proposed for solving nonlinear, singular,
and stiff initial value problems often encountered in real life. Starting with a fixed step size …

The design of intelligent networks for entropy generation in Ree-Eyring dissipative fluid flow system along quartic autocatalysis chemical reactions

M Shoaib, M Kausar, KS Nisar, MAZ Raja, M Zeb… - … Communications in Heat …, 2022 - Elsevier
In this framework entropy generation optimization in dissipative flow of Ree-Eyring fluid
model (EGODF-RFM) with chemical reaction of quartic autocatalysis between two rotating …

Neuro-computing networks for entropy generation under the influence of MHD and thermal radiation

M Shoaib, MAZ Raja, MAR Khan, I Farhat… - Surfaces and …, 2021 - Elsevier
In this research article, artificial neural networks back-propagated with Levenberg Marquardt
scheme (ANN-BLMS) is presented to analyze the entropy generation of carbon nanotubes …

Intelligent backpropagated neural networks application on Darcy-Forchheimer ferrofluid slip flow system

M Shoaib, M Kausar, MI Khan, M Zeb… - … Communications in Heat …, 2021 - Elsevier
Ferroliquids are made of small magnetic fragments of iron, nanoscale ferrimagnetic particles
suspended on a base liquid (usually organic solvent/water) and are called colloidal liquids …

Intelligent computing Levenberg Marquardt approach for entropy optimized single-phase comparative study of second grade nanofluidic system

M Shoaib, MAZ Raja, W Jamshed, KS Nisar… - … Communications in Heat …, 2021 - Elsevier
In the presented research study, the novel intelligence based numerical computation by
artificial neural networks backpropagated with Levenberg Marquardt method (ANN-BLMM) …

Artificial neural network scheme to solve the nonlinear influenza disease model

Z Sabir, T Botmart, MAZ Raja, R Sadat, MR Ali… - … Signal Processing and …, 2022 - Elsevier
The aim of this study is to present the numerical simulations of the influenza disease
nonlinear system (IDNS) using the stochastic artificial neural networks (ANNs) procedures …

Bayesian regularization knack-based intelligent networks for thermo-physical analysis of 3D MHD nanofluidic flow model over an exponential stretching surface

SE Awan, M Awais, MAZ Raja, S Rehman… - The European Physical …, 2023 - Springer
Artificial intelligence (AI) knacks are exploited broadly by the research community in the field
of engineering and technology to enhance efficacy of the outputs for rapid development of …

[HTML][HTML] Supervised neural networks learning algorithm for three dimensional hybrid nanofluid flow with radiative heat and mass fluxes

MAZ Raja, M Shoaib, Z Khan, S Zuhra… - Ain Shams Engineering …, 2022 - Elsevier
Hybrid nanofluid is an emerging field due to the rapid enhancement of heat transfer and
stable nanoparticles in base fluid properties. A three dimensional hybrid nanofluid flow …

Cattaneo-christov heat flux model of 3D hall current involving biconvection nanofluidic flow with Darcy-Forchheimer law effect: Backpropagation neural networks …

MAZ Raja, Z Khan, S Zuhra, NI Chaudhary… - Case Studies in Thermal …, 2021 - Elsevier
Recently, the applications of artificial intelligence through soft computing and machine
learning algorithms have become the focal point of researcher's consideration on account of …