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 …

Learning from successful applications of methods originating in statistical mechanics,
complex systems science, or information theory in one scientific field (eg, atmospheric …

Most of real natural, technical, and social systems exhibit recurrent behavior, which means
that certain states of systems repeat over time often [1]. There are methods of recurrent plots …

 This paper reports the construction of a method for calculating the structural function within
a moving window of the fixed size, based on measuring the vector of current concentrations …

The correlation method for operative detection of recurrent states in complex dynamical
systems at irregular measurements was proposed. The concepts of correlation for the case …

The upper Silurian, and especially Pridoli epoch is a critical interval for the understanding
the evolution of Earth's biota, since it witnessed series of powerful extinction events, global …

The dynamical complexities of geospace has been examined by investigating the
characteristic chaotic properties of hourly Dst values obtained from the World Data Center …

Often the input values used in mathematical models for rolling bearings are in a wide range,
ie, very small values of deformation and damping are confronted with big values of stiffness …

In 2023, the ESA's Swarm constellation mission celebrates 10 years in orbit, offering one of
the best ever surveys of the topside ionosphere. Among its achievements, it has been …

A fundamental question of data analysis is how to distinguish noise corrupted deterministic
chaotic dynamics from time-(un) correlated stochastic fluctuations when just short length …