In this study, a two-dimensional contaminant transport model with time-varying axial input sources subject to non-linear sorption, decay, and production is numerically solved to find …
A Kag, V Saligrama - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
Convolutional neural networks (CNNs) rely on the depth of the architecture to obtain complex features. It results in computationally expensive models for low-resource IoT …
B Yan, G Zheng - Physics of Fluids, 2023 - pubs.aip.org
This article investigates the effect of surface radiation on the surface heat flux of a two- dimensional hypersonic panel flow by comparing the surface heat fluxes of penetrating …
Purpose The purpose of this study is to use the method of lines to solve the two-dimensional nonlinear advection–diffusion–reaction equation with variable coefficients …
A Saleh, FN Ibrahim, MK Hadhouda - Inf. Sci. Lett, 2022 - naturalspublishing.com
Analytical solution has been obtained for one-dimensional advection-diffusion equation with constant coefficients by using Laplace transformation. Also numerical solution has been …
The advection–diffusion equation (ADE) describes many important processes in hydrogeology, mechanics, geology, and biology. The equations model the transport of a …
The present study uses a novel finite element scheme to solve the unsteady 1D advection- diffusion equations. This approach reconstructs the finite element scheme based on …
RR Jha, ASS Teja, V Wadawadagi… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
Anomaly detection is needed in many applications, such as video surveillance, manufacturing defect detection, and medical image analysis. However, this poses a …
We present a variant of dynamic mode decomposition (DMD) for constructing a reduced- order model (ROM) of advection-dominated problems with time-dependent coefficients …