[HTML][HTML] A swarming neural network computing approach to solve the Zika virus model

Z Sabir, SA Bhat, MAZ Raja, SE Alhazmi - Engineering Applications of …, 2023 - Elsevier
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 …

Laplace-residual power series method for solving time-fractional reaction–diffusion model

MN Oqielat, T Eriqat, O Ogilat, A El-Ajou… - Fractal and …, 2023 - mdpi.com
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 …

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 …

Heuristic computing with active set method for the nonlinear Rabinovich–Fabrikant model

Z Sabir, D Baleanu, SE Alhazmi, SB Said - Heliyon, 2023 - cell.com
The current study shows a reliable stochastic computing heuristic approach for solving the
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

SM Alzahrani, R Saadeh, MA Abdoon, A Qazza… - Appl …, 2024 - naturalspublishing.com
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 …

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 …

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 …

Numerical solution for fuzzy time-fractional cancer tumor model with a time-dependent net killing rate of cancer cells

H Zureigat, M Al-Smadi, A Al-Khateeb… - International Journal of …, 2023 - mdpi.com
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 …

Exact and approximate solutions for linear and nonlinear partial differential equations via Laplace residual power series method

H Khresat, A El-Ajou, S Al-Omari, SE Alhazmi… - Axioms, 2023 - mdpi.com
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 …

[HTML][HTML] Chaos control and Penta-compound combination anti-synchronization on a novel fractional chaotic system with analysis and application

EE Mahmoud, P Trikha, LS Jahanzaib, RT Matoog - Results in Physics, 2021 - Elsevier
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 …