Computational intelligence of Bayesian regularization backpropagation neural networks to study the thermo-bioconvection flow of hybrid-nanofluid with thermal Radiation: Biotechnological perspectives

This study aims to develop a deep neural network that utilizes Bayesian regularization to investigate the performance of gyrotactic and oxytactic microbes in hybrid nanofluid flow over a sheet, taking into account local thermal non-equilibrium effects and thermal radiation. Two different activation...

Full description

Bibliographic Details

Published in:	Journal of Radiation Research and Applied Sciences Vol. 18; no. 3; p. 101777
Main Authors:	Abbas, Munawar, Medani, Mohamed, Rajab, Adnan Burhan, Elaissi, Samira, Zayani, Hafedh Mahmoud, Faiz, Zeshan, Khan, Ilyas, Ben Khedher, Nidhal
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2025
Subjects:	Bayesian regularization algorithm Hybrid nanofluid Local thermal non-equilibrium conditions Oxytactic and gyrotactic microbe Thermophoretic particle deposition Oxytactic and gyrotactic microbe Thermophoretic particle deposition Bayesian regularization algorithm Local thermal non-equilibrium conditions Hybrid nanofluid
ISSN:	1687-8507
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!