[HTML][HTML] A swarming neural network computing approach to solve the Zika virus model
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 dynamical model of the susceptible, exposed, infected, and recovered (SEIR) classes …
Laplace-residual power series method for solving time-fractional reaction–diffusion model
Despite the fact the Laplace transform has an appreciable efficiency in solving many
equations, it cannot be employed to nonlinear equations of any type. This paper presents a …
equations, it cannot be employed to nonlinear equations of any type. This paper presents a …
Chaotic dynamics in some fractional predator–prey models via a new Caputo operator based on the generalised Gamma function
AE Matouk, B Lahcene - Chaos, Solitons & Fractals, 2023 - Elsevier
We introduce a generalisation of the Caputo fractional differential operator by replacing the
Euler Gamma function in the basic operator with the generalised Gamma function. The …
Euler Gamma function in the basic operator with the generalised Gamma function. The …
Heuristic computing with active set method for the nonlinear Rabinovich–Fabrikant model
The current study shows a reliable stochastic computing heuristic approach for solving the
nonlinear Rabinovich-Fabrikant model. This nonlinear model contains three ordinary …
nonlinear Rabinovich-Fabrikant model. This nonlinear model contains three ordinary …
[PDF][PDF] Numerical simulation of an influenza epidemic: Prediction with fractional SEIR and the ARIMA model
This article offers a condensed analysis of a fractional SEIR model used to track and forecast
influenza spread. In addition, the seasonal evolution of influenza epidemics is predicted …
influenza spread. In addition, the seasonal evolution of influenza epidemics is predicted …
A design of novel Gudermannian neural networks for the nonlinear multi-pantograph delay differential singular model
Z Sabir, SE Alhazmi - Physica Scripta, 2023 - iopscience.iop.org
In this paper, a new stochastic numerical platform through the Gudermannian neural
network (GNN) based intelligent computing solver (GNNICS) is accessible for solving the …
network (GNN) based intelligent computing solver (GNNICS) is accessible for solving the …
Fractional photodamage triggered by chaotic attractors in human lung epithelial cancer cells
H Martines-Arano, S Palacios-Barreto… - International Journal of …, 2022 - Elsevier
Modification in thermal transfer mechanisms induced by light in human lung epithelial
cancer cells was experimentally controlled by chaotic attractors dependent on optical …
cancer cells was experimentally controlled by chaotic attractors dependent on optical …
Numerical solution for fuzzy time-fractional cancer tumor model with a time-dependent net killing rate of cancer cells
Simple Summary One of the most recognized phenomena is the cancer tumor which
uncontrollably grows in human cells and spreads over the other parts of the body. It spreads …
uncontrollably grows in human cells and spreads over the other parts of the body. It spreads …
Exact and approximate solutions for linear and nonlinear partial differential equations via Laplace residual power series method
The Laplace residual power series method was introduced as an effective technique for
finding exact and approximate series solutions to various kinds of differential equations. In …
finding exact and approximate series solutions to various kinds of differential equations. In …
[HTML][HTML] Chaos control and Penta-compound combination anti-synchronization on a novel fractional chaotic system with analysis and application
The article introduces the fractional modified Sprott A chaotic system with its thorough
dynamical analysis such as solution of system, Lyapunov dynamics, route to chaos etc …
dynamical analysis such as solution of system, Lyapunov dynamics, route to chaos etc …