[PDF][PDF] A third-order two stage numerical scheme and neural network simulations for SEIR epidemic model: a numerical study
This study focuses on the cutting-edge field of epidemic modeling, providing a
comprehensive investigation of a third-order two-stage numerical approach combined with …
comprehensive investigation of a third-order two-stage numerical approach combined with …
[HTML][HTML] Lie symmetry neural networking for heat transfer in magnetized williamson fluid (MWF) with heat source (HS) and thermal slip (TS)
KU Rehman, W Shatanawi, TAM Shatnawi - International Journal of …, 2024 - Elsevier
In the analysis, design, and optimization of a wide range of engineering applications
involving stretching surfaces and fluid flow, the skin friction coefficient (SFC) at a stretching …
involving stretching surfaces and fluid flow, the skin friction coefficient (SFC) at a stretching …
Numerical analysis of thermophoretic particle deposition on 3D Casson nanofluid: Artificial neural networks-based Levenberg–Marquardt algorithm
The aim of this research is to provide a new computer-assisted approach for predicting
thermophoresis particle decomposition on three-dimensional Casson nanofluid flow that …
thermophoresis particle decomposition on three-dimensional Casson nanofluid flow that …
[HTML][HTML] Redefining structural soundness in concrete constructions: A groundbreaking technique for water–cement ratio assessment in sustainable building integrated …
MM Jibril, UJ Muhammad, M Adamu, YE Ibrahim… - AIP Advances, 2024 - pubs.aip.org
Predicting concrete's compressive strength (CS) is a crucial and challenging task in civil
engineering as it directly impacts the longevity and structural integrity of infrastructure …
engineering as it directly impacts the longevity and structural integrity of infrastructure …