To enhance the performance limitations of existing image encryption schemes using
compressive sensing (CS) technique in withstanding plaintext analysis-based security attack …

Neural networks have proven to be a highly effective tool for solving complex problems in
many areas of life. Recently, their importance and practical usability have further been …

Chaos plays a prominent role in nonlinear systems like energy, finance, and weather. In
these systems, a changing parameter to time yields a chaotic time series that contains a lot …

Time series prediction is one of the most challenging topics in real-world applications. Most
studies undertook advanced mathematics and computer techniques above benchmark …

In this work, we propose a new five-dimensional non-Hamiltonian conservative hyperchaotic
system with infinitely many equilibrium points. Both this system and its fractional-order …

To overcome the limitations of classic fuzzy systems, including Type-1 and Type-2 fuzzy
systems, and to propose a robust and flexible intelligent network, this paper presents a new …

In recent years, studies on chaotic fuzzy systems inspired by the human brain have been
increased to construct a robust and flexible intelligent network. This paper presents an …

ABSTRACT An Improved Cascade Chaotic Invasive Weed Optimization Algorithm (ICCIWO)
is proposed, employing cascade chaotic maps in the structure of a metaheuristic …

Deep learning has enabled significant advancements in the classification of remote sensing
images; however, the task of classifying images in remote sensing remains a formidable …

The operation of digital chaotic systems on devices with finite precision can lead to
dynamical degradation, thereby posing a potential treat to system security. This study …