Abstract: Permutation entropy, approximate entropy and sample entropy can be used to measure the complexity of time series. The sinusoidal signal changed with length, amplitude, phase and frequency is ...

Abstract: Permutation entropy (PE) is a widely used metric for quantifying the complexity of time series data. Recent efforts have extended PE to graph signals, resulting in the graph permutation ...

L. G. J. M. Voltarelli, A. A. B. Pessa, L. Zunino, R. S. Zola, E. K. Lenzi, M. Perc, H. V. Ribeiro, Characterizing unstructured data with the nearest neighbor ...

Scientists have simultaneously broken a temperature record, overturned a long-held theory and utilized a new laser spectroscopy method for dense plasmas in a groundbreaking article published today in ...

Due to popular demand from developers, this package contains the Entropy Pooling implementation from the fortitudo.tech Python package with a more permissive BSD 3-Clause license. This package ...

In this tutorial for graduate students and postdocs, John Baez and Tai-Danae Bradley (GC alum, class of 2020) will introduce material related to the upcoming symposium, Categorical Semantics of ...

Background: Biomarkers that predict clinical outcomes in depression are essential for increasing the precision of treatments and clinical outcomes. The electroencephalogram (EEG) is a non-invasive ...

ABSTRACT: We have defined the environmental interface through the exchange processes between media forming this interface. Considering the environmental interface as a complex system we elaborated the ...