Chaos is devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
This paper proposes a novel fast online methodology for outlier detection called the exception maximization outlier detection (EMOD) algorithm, which employs probabilistic models and statistical ...
Stability is an essential problem in theoretical and experimental studies of solitons in nonlinear media with fractional diffraction, which is represented by the Riesz derivative with Lévy index (LI) ...
This paper investigates the origin and onset of chaos in a mathematical model of an individual neuron, arising from the intricate interaction between 3D fast and 2D slow dynamics governing its ...
We use the minimum description length (MDL) principle, which is an information-theoretic criterion for model selection, to determine echo-state network readout subsets. We find that this method of ...
Discerning chaos in quantum systems is an important problem as the usual route of Lyapunov exponents in classical systems is not straightforward in quantum systems. A standard route is the comparison ...
In this work, the optical field distribution of the optical frequency comb in the whispering gallery mode microcavity is demonstrated based on the coupled Lugiato–Lefever equation model with ...
Considering limited environmental resources, this article develops topological and random population systems, as well as positioned spread models that emphasize spatial distribution and growth. It ...
In nonautonomous dynamical systems, rate-induced tipping (R-tipping) is a critical transition triggered by the rate of change of a time-varying parameter, rather than its absolute value. In recent ...
We present a novel method of reconstructing the phase–amplitude dynamics directly from signals of a network of oscillators to estimate the coupling between its nodes. For this purpose, we use the ...
