Работы, цитирующие эту работу

Работ: 3

Работа: Computational intelligence of Levenberg-Marquardt backpropagation neural networks to study the dynamics of expanding/contracting cylinder for Cross magneto-nanofluid flow model

1. Stochastic computing with Levenberg–Marquardt neural networks for the study of radiative transportation phenomena in three-dimensional Carreau nanofluid model subjected to activation energy and porous medium

   Zahoor Shah, Muhammad Asif Zahoor Raja, Faisal Shahzad +7

   СтатьяRadiative Heat Transfer StudiesChemical Engineering Journal Advances2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000950

2. Novel concepts of activation energy and bio-convection for optimization of entropy rate in solar-radiative nanomaterial flow: AI-driven analysis

   Imran Abbasi, Waqar Azeem Khan, Ilkhom Khaydarov +4

   СтатьяNanofluid Flow and Heat TransferResults in Surfaces and Interfaces2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.013810

3. Analysis of melting heat-mass characteristics of Sutterby nanofluid flow based on design of intelligent-based neuro-structures

   Imran Abbasi, Waqar Azeem Khan, Muhammad Naeem +5

   СтатьяNanofluid Flow and Heat TransferResults in Surfaces and Interfaces2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.018685