Electroencephalogram (EEG) signals acquired from brain can provide an effective
representation of the human's physiological and pathological states. Up to now, much work …

Several studies focusing on the anomalies of one specific parameter (such as magnetic,
ionospheric, radon release, temperature, geodetic, etc.) before impending earthquakes are …

Reservoir computing (RC) methods have received more and more attention and
applications in chaotic time series prediction with their simple structure and training method …

A constructive approach is developed to build the solar flare complex network by utilizing a
visibility graph condition alongside the Abe–Suzuki method. Solar flare information such as …

Studies from complex networks have increased in recent years, and different applications
have been utilized in geophysics. Seismicity represents a complex and dynamic system that …

Reconstructing the equation of motion and thus the network topology of a system from time
series is a very important problem. Although many powerful methods have been developed …

Statistical laws such as the Omori and Gutenberg-Richter laws have become one of the most
important tools for seismic hazard. The introduction of earthquake networks by Abe and …

Nonlinear dynamics is a rapidly developing subject across all disciplines involving spatial or
temporal evolution. The reconstruction of equations of motion for a nonlinear system from …

We present a new complex network-based study focused on intraplate earthquakes
recorded in southern Norway during the period 1980–2020. One of the most recognized …

Nursery rhymes provide insights into the traditions, beliefs, and values of a culture, thereby
making it an integral part of a community's heritage. As representative linguistic resources …