The utmost advancements of artificial neural networks (ANNs), software-defined networks
(SDNs) and internet of things (IoT) technologies find beneficial in different applications of the …

The current work is to design a novel neuro-swarming computational approach for numerical
treatment of mosquito dispersal system based on the heterogeneous environment by …

In this communication, a fractional order design and numerical form of the solutions are
presented for numerical simulations of heterogeneous mosquito model. The use of the …

In this paper, the design of stochastic computational intelligent solver is presented for the
solution of mathematical model representing the dynamics of mosquito dispersal in a …

The design of integrated intelligent computing solver with Morlet wavelet neural networks
(MW-NNs) is presented for solving the mathematical predator–prey model by exploiting the …

The economic and social impacts due to diseases transmitted by mosquitoes in the latest
years have been significant. Currently, no specific treatment or commercial vaccine exists for …

This study is associated to solve the nonlinear SIR dengue fever system using a
computational methodology by operating the neural networks based on the designed Morlet …

In this study, the solution of the non-linear influenza disease system (NIDS) is presented
using the Morlet wavelet neural networks (MWNNs) together with the optimisation …

In this study, a new evolutionary optimized finite difference based computing paradigm is
presented for dynamical analysis of dust density model for the ensemble of electrical …

The present investigations are associated with designing Morlet wavelet neural network
(MWNN) for solving a class of susceptible, infected, treatment and recovered (SITR) fractal …