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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

A. M. Alharthi

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4 papers indexed here

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Open access Oct 2026

Machine learning-based analysis of heat and mass transfer in casson hybrid nanofluid flow over a variable porous riga plate

This study uses an artificial neural network (ANN) architecture in combination with the Levenberg-Marquardt backpropagation (LMBP) method to investigate the impact of heat radiation on the hybrid nanofluid flow through a variable porous medium beneath a stretchy Riga plate. The purpose of this work is driven by the inc...

Shajar Abbas, Syeda Farzeen Fatima Gilani, I. Siddique et al. · 0 citations
Oct 2026

Radiation influenced enthalpy driven transport in magneto-bioconvective Casson nanofluid flow over a paraboloid surface of revolution: Implications for subsurface energy systems.

This study investigates unsteady magnetohydrodynamic (MHD) boundary-layer flow and bioconvection of a Casson nanofluid over a revolving paraboloid with varying thermophysical properties. We formulated a mathematical model to analyze heat and mass transport under the influence of thermal radiation, viscous dissipation,...

Muhammad Zeemam, M. A. Basit, Muhammad Imran et al. · 0 citations
Aug 2026

Artificial intelligence-based fractional modeling of radiative Jeffrey flow with heat generation and reaction effects

This study investigates the influence of thermal radiation on the free convection flow of a Jeffrey fluid over a vertical stationary plate. To account for memory and non-local effects in the transport process, the Atangana-Baleanu fractional derivative in the Caputo sense is incorporated into the mathematical model...

Hakim AL. Garalleh, Shajar Abbas, Rashid Jan et al. · 0 citations
Open access Jul 2026

Topological indices and QSPR analysis of drug molecules from different therapeutic classes

The results show that neighbourhood-based descriptors are able to capture molecular structural information and make reliable prediction of properties on structurally diverse drug molecules and provide good justification to use these descriptors in general for chemical graph theory and in QSPR studies without any partic...

Zeeshan Saleem Mufti, Umm E. Rubab, A. M. Alharthi et al. · 0 citations

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