The motive of this work is to provide the neural investigations using the artificial neural
networks (ANNs) through the particle swarm optimization for the singular two-point (STP) …

In this work, a swarming computational procedure is presented for the numerical treatment of
the dynamical model of the susceptible, exposed, infected, and recovered (SEIR) classes …

The motive of these investigations is to present the numerical performances of the fractional
order mathematical influenza disease model (FO-MIDM) by designing the computational …

The motive of this work is to find the numerical simulations of a dynamical HIV model along
with the effects of prevention, ie, HIPV nonlinear mathematical system. An advance …

In this study, the dynamics of a nonlinear multiple delays susceptible, exposed, infected,
recovered (SEIR) model for worms propagation in wireless sensor networks (WSNs) …

The purpose of this work is to construct a reliable stochastic framework for solving the SIRC
delay differential epidemic system, ie SIRC-DDES that is based on the coronavirus …

In this article, we analyze the dynamics of the non-linear tumor-immune delayed (TID) model
illustrating the interaction among tumor cells and the immune system (cytotoxic T …

The intension of the present study is to solve the nonlinear biological susceptible, infected
and recovered (SIR) models using Feed-Forward Artificial Neural Networks (FFANN) …

Abstract Background The advent of Julia as a sophisticated and dynamic programming
language in 2012 represented a significant milestone in computational programming …

Cervical cancer is a common type of tumor that occurs in the cervix. The cervical cells in the
cervix contain millions of cells with various orientations and overlaps. It is an extensive …