Python-based machine learning procedure for radiative Sutterby multiple-hybrid nanofluid flow comprising features of chemical processes DOI

Hamid Qureshi,

Sultan-ul-Arfeen,

Waqar Azeem Khan

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2024, Volume and Issue: 18(1), P. 101258 - 101258

Published: Dec. 18, 2024

Language: Английский

Artificial intelligence-based analysis employing Levenberg Marquardt neural networks to study chemically reactive thermally radiative tangent hyperbolic nanofluid flow considering Darcy-Forchheimer theory DOI

Hamid Qureshi,

Usman Khaliq,

Zahoor Shah

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(1), P. 101253 - 101253

Published: Jan. 5, 2025

Language: Английский

Citations

4
Artificial intelligence analysis of thermal energy for convectively heated ternary nanofluid flow in radiated channel considering viscous dissipations aspects DOI Creative Commons

Hamid Qureshi,

Amjad Ali Pasha, Muhammad Asif Zahoor Raja

et al.

Engineering Science and Technology an International Journal, Journal Year: 2025, Volume and Issue: 62, P. 101955 - 101955

Published: Jan. 20, 2025

Language: Английский

Citations

1
Artificial intelligence approach to magnetohydrodynamic flow of non-Newtonian fluids over a wedge: Thermophoresis and Brownian motion effects DOI
T.A. Taha, Sohaib Abdal, Liaqat Ali

et al.

Engineering Science and Technology an International Journal, Journal Year: 2025, Volume and Issue: 66, P. 102071 - 102071

Published: April 25, 2025

Language: Английский

Citations

0
Machine learning investigation with neural network modelling for Sutterby Multi-hybrid fluid in Biomedical treatments DOI Creative Commons

Hamid Qureshi,

Zahoor Shah, Waqar Azeem Khan

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104427 - 104427

Published: Feb. 1, 2025

Language: Английский

Citations

0
Optimization of convective heat transfer and thermal storage in ternary hybrid nanomaterials using machine learning-driven exogenous neural networks with radiation effects DOI

Li Yongxin,

Muhammad Habib Ullah Khan,

Waqar Azeem Khan

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 120, P. 116395 - 116395

Published: April 4, 2025

Language: Английский

Citations

0
Advanced multi-layer deep learning model for accurate estimation of heat transfer and flow designing parameters across diverse dataset configurations DOI
Ali A. H. Karah Bash, Ahmad Aboul Khail

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 151, P. 110723 - 110723

Published: April 4, 2025

Language: Английский

Citations

0
Gyrotactic microorganisms in the pharmacokinetics of electrically conducted nanofluid over a stretching sheet: complex algorithmic models DOI
Adnan Amjad,

Rahma Sellami,

Muhammad Imran Khan

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2025, Volume and Issue: 8(6)

Published: April 28, 2025

Language: Английский

Citations

0
Python-based machine learning procedure for radiative Sutterby multiple-hybrid nanofluid flow comprising features of chemical processes DOI

Hamid Qureshi,

Sultan-ul-Arfeen,

Waqar Azeem Khan

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2024, Volume and Issue: 18(1), P. 101258 - 101258

Published: Dec. 18, 2024

Language: Английский

Citations

1