The main objective of feature selection is to improve learning performance by selecting
concise and informative feature subsets, which presents a challenging task for machine …

In this paper, some attempts have been devoted to investigating the dynamic features of
discrete fractional calculus (DFC). To date, discrete fractional systems with complex …

Dynamics in fractional order systems has been discussed extensively for presenting a
possible guidance in the field of applied mathematics and interdisciplinary science. Within …

This research presents a new fractional-order discrete-time susceptible-infected-recovered
(SIR) epidemic model with vaccination. The dynamical behavior of the suggested model is …

In this paper, the hyperchaos analysis, optimal control, and synchronization of a
nonautonomous cardiac conduction system are investigated. We mainly analyze, control …

Chaotic systems are the most essential tools for wide range of applications such as
communication, watermarking, data compression and multimedia encryption. However, the …

Delay differential equations (DDEs) or functional differential equations arise in models
representing biological phenomena when the time-delays occurring in these phenomena …

New variable-order fractional chaotic systems are proposed in this paper. A concept of short
memory is introduced where the initial point in the Caputo derivative is varied. The fractional …

Nearly all nontrivial real-world systems are nonlinear dynamical systems. Chaos describes
certain nonlinear dynamical systems that have a very sensitive dependence on initial …

In this paper, a three-dimensional fractional-order (FO) discrete Hopfield neural network
(FODHNN) in the left Caputo discrete delta's sense is proposed, the dynamic behavior and …