Z. Shah

Application of Levenberg–Marquardt technique for electrical conducting fluid subjected to variable viscosity

W. Khan, M. Raja, M. Waqas, 2022, Indian journal of physics and proceedings of the Indian Association for the Cultivation of Science.

A new stochastic computing paradigm for nonlinear Painlevé II systems in applications of random matrix theory

D. Baleanu, Iftikhar Ahmad, M. A. Zahoor Raja, 2018, The European Physical Journal Plus.

A new stochastic computing paradigm for nonlinear Painlevé II systems in applications of random matrix theory

Muhammad Awais, Dumitru Baleanu, Iftikhar Ahmad, 2018 .

Design of neural network based intelligent computing for neumerical treatment of unsteady 3D flow of Eyring-Powell magneto-nanofluidic model

W. Khan, M. Raja, Y. Chu, 2020, Journal of Materials Research and Technology.

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

M. Irfan, M. Raja, Yuming Chu, 2021 .

Application of Levenberg–Marquardt technique for electrical conducting fluid subjected to variable viscosity

W. Khan, M. Raja, M. Waqas, 2022, Indian Journal of Physics.

Design of Bayesian stochastic networks for numerical treatment of Williamson fluid stretching flow model with mixed convected heat generation

Z. Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, 2024, Numerical Heat Transfer, Part B: Fundamentals.

Multilayer deep-learning intelligent computing for the numerical analysis of unsteady heat and mass transfer in MHD Carreau Nanofluid model

Z. Shah, M. Alreshoodi, Muhammad Asif Zahoor Raja, 2024, Case Studies in Thermal Engineering.