Hira Ilyas

TL;DR: The methodology integrates the artificial neural network, genetic algorithms, and pattern search aided by active-set technique (AST) and interior-point technique (IPT) to solve a one-dimensional steady-state nonlinear reactive transport model (RTM) that is meant for fluid and solute transport model of soft tissues and microvessels.

TL;DR: An intelligent computing paradigm through Levenberg–Marquardt artificial neural networks (LMANNs) for solving the mathematical model of Corona virus disease 19 (COVID-19) propagation via human to human interaction is designed.

TL;DR: Simulation studies show that the proposed methods are useful and effective for solving higher order stiff problem with boundary conditions and validated through strong statistical analysis.

TL;DR: A exhaustive analysis of the numerical solutions of GWNN-GA-SQP solver with reference Adams method endorse the stability, accuracy and consistency on multiple autonomous runs through different statistical performance operators and complexity analysis.

TL;DR: An innovative stochastic numerical solver's application by the use of neural networks with Levenberg-Marquardt backpropagation to examine the dynamics of hydrogen possessions and variable viscosity in the fluidic system of electrically conducting copper and silver nanoparticles with mixed convection is provided.