A review of wavelet analysis and its applications: Challenges and opportunities
As a general and rigid mathematical tool, wavelet theory has found many applications and is
constantly developing. This article reviews the development history of wavelet theory, from …
constantly developing. This article reviews the development history of wavelet theory, from …
Stochastic numerical investigations for nonlinear three-species food chain system
Z Sabir - International Journal of Biomathematics, 2022 - World Scientific
In this work, three-dimensional nonlinear food chain system is numerically treated using the
computational heuristic framework of artificial neural networks (ANNs) together with the …
computational heuristic framework of artificial neural networks (ANNs) together with the …
[HTML][HTML] Nanoscale heat and mass transport of magnetized 3-D chemically radiative hybrid nanofluid with orthogonal/inclined magnetic field along rotating sheet
This work is related to the chemical process in nanomaterial that has prominent applications
in water-solubility, octanol-water partition coefficient, melting points, vapor pressure and …
in water-solubility, octanol-water partition coefficient, melting points, vapor pressure and …
Gudermannian neural networks using the optimization procedures of genetic algorithm and active set approach for the three-species food chain nonlinear model
The present study is to investigate the Gudermannian neural networks (GNNs) using the
optimization procedures of genetic algorithm and active-set approach (GA-ASA) to solve the …
optimization procedures of genetic algorithm and active-set approach (GA-ASA) to solve the …
[HTML][HTML] A novel study of Morlet neural networks to solve the nonlinear HIV infection system of latently infected cells
The aim of this study is to provide the numerical outcomes of a nonlinear HIV infection
system of latently infected CD4+ T cells exists in bioinformatics using Morlet wavelet (MW) …
system of latently infected CD4+ T cells exists in bioinformatics using Morlet wavelet (MW) …
Heuristic computing with sequential quadratic programming for solving a nonlinear hepatitis B virus model
This current study presents a nonlinear system of the hepatitis B virus infection by using the
strength of artificial neural network (ANN) together with the competences of global and local …
strength of artificial neural network (ANN) together with the competences of global and local …
An efficient stochastic numerical computing framework for the nonlinear higher order singular models
The focus of the present study is to present a stochastic numerical computing framework
based on Gudermannian neural networks (GNNs) together with the global and local search …
based on Gudermannian neural networks (GNNs) together with the global and local search …
Meyer wavelet neural networks to solve a novel design of fractional order pantograph Lane-Emden differential model
The aim of this study is to design a singular fractional order pantograph differential model by
using the typical form of the Lane-Emden model. The necessary details of the singular-point …
using the typical form of the Lane-Emden model. The necessary details of the singular-point …
[HTML][HTML] Supervised neural networks learning algorithm for three dimensional hybrid nanofluid flow with radiative heat and mass fluxes
Hybrid nanofluid is an emerging field due to the rapid enhancement of heat transfer and
stable nanoparticles in base fluid properties. A three dimensional hybrid nanofluid flow …
stable nanoparticles in base fluid properties. A three dimensional hybrid nanofluid flow …
Modeling and simulation of Maxwell nanofluid flows in the presence of Lorentz and Darcy–Forchheimer forces: toward a new approach on Buongiorno's model using …
The current work explores the intelligent computational strength of neural networks based
on the Levenberg–Marquardt backpropagation (LMBP-NNs) neural networks technique for …
on the Levenberg–Marquardt backpropagation (LMBP-NNs) neural networks technique for …