The structure and dynamics of networks with higher order interactions
All beauty, richness and harmony in the emergent dynamics of a complex system largely
depend on the specific way in which its elementary components interact. The last twenty-five …
depend on the specific way in which its elementary components interact. The last twenty-five …
The synchronized dynamics of time-varying networks
Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …
investigating the intimate relationships between the topological properties characterizing the …
Complex network approaches to nonlinear time series analysis
In the last decade, there has been a growing body of literature addressing the utilization of
complex network methods for the characterization of dynamical systems based on time …
complex network methods for the characterization of dynamical systems based on time …
Evaluation of deep learning models for multi-step ahead time series prediction
R Chandra, S Goyal, R Gupta - Ieee Access, 2021 - ieeexplore.ieee.org
Time series prediction with neural networks has been the focus of much research in the past
few decades. Given the recent deep learning revolution, there has been much attention in …
few decades. Given the recent deep learning revolution, there has been much attention in …
A class of 2n+ 1 dimensional simplest Hamiltonian conservative chaotic systems and fast image encryption schemes
X Kong, F Yu, W Yao, C Xu, J Zhang, S Cai… - Applied Mathematical …, 2024 - Elsevier
Compared with dissipative systems, conservative systems do not have attractors, thus they
can better cope with the security risks brought by phase space reconstruction. In this paper …
can better cope with the security risks brought by phase space reconstruction. In this paper …
New 4D chaotic system with hidden attractors and self-excited attractors and its application in image encryption based on RNG
A new 4D chaotic system with self-excited attractors or hidden attractors is designed and the
generation of self-excited attractors and hidden attractors depends on the parameters of the …
generation of self-excited attractors and hidden attractors depends on the parameters of the …
Learning Koopman invariant subspaces for dynamic mode decomposition
Spectral decomposition of the Koopman operator is attracting attention as a tool for the
analysis of nonlinear dynamical systems. Dynamic mode decomposition is a popular …
analysis of nonlinear dynamical systems. Dynamic mode decomposition is a popular …
[图书][B] Synchronization: from coupled systems to complex networks
A modern introduction to synchronization phenomena, this text presents recent discoveries
and the current state of research in the field, from low-dimensional systems to complex …
and the current state of research in the field, from low-dimensional systems to complex …
Chaos-based image encryption: Review, application, and challenges
B Zhang, L Liu - Mathematics, 2023 - mdpi.com
Chaos has been one of the most effective cryptographic sources since it was first used in
image-encryption algorithms. This paper closely examines the development process of …
image-encryption algorithms. This paper closely examines the development process of …