Numerical solution for MHD peristaltic transport in an inclined nanofluid symmetric channel with porous medium
AM Abd-Alla, EN Thabet, FS Bayones - Scientific reports, 2022 - nature.com
The significance of the study is to determine of transferred heat and mass impact on the
magneto-hydrodynamic peristalsis of Jeffery nanofluid through porous media with inclined …
magneto-hydrodynamic peristalsis of Jeffery nanofluid through porous media with inclined …
Neuro-computing networks for entropy generation under the influence of MHD and thermal radiation
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 …
scheme (ANN-BLMS) is presented to analyze the entropy generation of carbon nanotubes …
Novel design of intelligent Bayesian networks to study the impact of magnetic field and Joule heating in hybrid nanomaterial flow with applications in medications for …
In current study, the effects of magnetic field and Joule heating in flow of (Cu+ CuO) hybrid
nanomaterial model with blood as a base fluid is analyzed effectively by exploiting novel …
nanomaterial model with blood as a base fluid is analyzed effectively by exploiting novel …
Finite element numerical technique for magneto-micropolar nanofluid flow filled with chemically reactive casson fluid between parallel plates subjected to rotatory …
MD Shamshuddin, W Ibrahim - International Journal of Modelling …, 2022 - Taylor & Francis
Steady electro-magnetohydrodynamic flow of a micropolar nanofluid in the attendance of
reactive Casson fluid passing through parallel plates influenced by the rotating system with …
reactive Casson fluid passing through parallel plates influenced by the rotating system with …
MHD casson nanofluid in darcy-forchheimer porous medium in the presence of heat source and arrhenious activation energy: applications of neural networks
The present study investigates the significance of activation energy during chemical
reactions, thermal radiations and temperature gradient of 3-D steady Magnetohydrodynamic …
reactions, thermal radiations and temperature gradient of 3-D steady Magnetohydrodynamic …
[HTML][HTML] Heat and mass transfer phenomenon for the dynamics of Casson fluid through porous medium over shrinking wall subject to Lorentz force and heat source …
The present investigation explores the impact of mass and heat transfer on the magneto-
hydrodynamic (MHD) flow of Casson fluid through porous medium due to shrinking wall …
hydrodynamic (MHD) flow of Casson fluid through porous medium due to shrinking wall …
Gudermannian neural networks using the optimization procedures of genetic algorithm and active set approach for the three-species food chain nonlinear model
The present study is to investigate the Gudermannian neural networks (GNNs) using the
optimization procedures of genetic algorithm and active-set approach (GA-ASA) to solve the …
optimization procedures of genetic algorithm and active-set approach (GA-ASA) to solve the …
Enhanced heat transfer analysis of hybrid nanofluid over a Riga plate: incorporating Lorentz forces and entropy generation
The Riga plate, comprising a configuration of electrodes and permanent magnets, can
induce a wall-parallel Lorentz force through external electric and magnetic fields, enabling …
induce a wall-parallel Lorentz force through external electric and magnetic fields, enabling …
Intelligent computing Levenberg Marquardt approach for entropy optimized single-phase comparative study of second grade nanofluidic system
In the presented research study, the novel intelligence based numerical computation by
artificial neural networks backpropagated with Levenberg Marquardt method (ANN-BLMM) …
artificial neural networks backpropagated with Levenberg Marquardt method (ANN-BLMM) …
Computational intelligence of Levenberg-Marquardt backpropagation neural networks to study thermal radiation and Hall effects on boundary layer flow past a …
In the present investigation, an integrated numerical computing through neural networks
which are backpropagated with Levenberg-Marquard scheme (NN-BLMS) is designed for …
which are backpropagated with Levenberg-Marquard scheme (NN-BLMS) is designed for …