Neural networks-based framework for recognizing streaming patterns in magnetized Maxwell–Oldroyd-B blood blended with tetra-hybrid nanoparticles and microbes over stenosis in an elastic artery-Reference-Cited by-同舟云学术

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Neural networks-based framework for recognizing streaming patterns in magnetized Maxwell–Oldroyd-B blood blended with tetra-hybrid nanoparticles and microbes over stenosis in an elastic artery

Published:2024-10 Issue: Volume:136 Page:109048
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Adhikari Rajat,Das Sukanya,Das Sanatan^ORCID

Funder

Ministry of Education, India

Ministry of Education

Publisher

Elsevier BV

Reference68 articles.

1. Ferromagnetic effects for nanofluid venture through composite permeable stenosed arteries with different nanosize particles;Akbar;AIP Adv.,2015

2. Effects of entropy generation and magnetic field on blood flow of Jeffrey fluid in a catheterized artery: A mathematical study;Alfwzan;Tribol. Int.,2023

3. Intelligent computing with Levenberg–Marquardt artificial neural network for carbon nanotubes-water between stretchable rotating disks;Ali;Sci. Rep.,2023

4. Magnetohydrodynamic (MHD) peristaltic flow of blood containing cylindrical shaped gold nanoparticles in a non-uniform tube in the presence of Joule dissipation;Ashraf;J. Magn. Magn. Mater.,2023

5. Swimming of motile gyrotactic microorganisms and nanoparticles in blood flow through anisotropically tapered arteries;Bhatti;Front. Phys.,2020

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