Brain function is a product of the balance between excitatory and inhibitory (E/I) brain
activity. Variation in the regulation of this activity is thought to give rise to normal variation in …

In this paper, we present a review of Shannon and differential entropy rate estimation
techniques. Entropy rate, which measures the average information gain from a stochastic …

Entropy, as a complexity measure, has been widely applied for time series analysis. One
preeminent example is the design of machine condition monitoring and industrial fault …

Entropy measures are widely applied to quantify the complexity of dynamical systems in
diverse fields. However, the practical application of entropy methods is challenging, due to …

Entropy is a powerful tool for nonlinear analysis of time series. We have recently introduced
dispersion entropy (DispEn), which has widely drawn attention from researchers in a variety …

Accurate and consistent annual runoff prediction in a region is a hot topic in management,
optimization, and monitoring of water resources. A novel prediction model (ESMD-SE-WPD …

In this study, we propose a P-wave absence (PWA) based method for atrial fibrillation (AF)
identification over a short duration of electrocardiogram (ECG). The algorithm constructs a …

Wind power is one of the most promising powers. Wind speed forecasting can eliminate the
harmful effect caused by the intermittent and fluctuation of wind power, and big multi-step …

Objective: Atrial fibrillation (AF) is a major cause of hospitalization and death in the United
States. Moreover, as the average age of individuals increases around the world, early …

This paper considers the problem of effective feature extraction of acoustic signals from oil
and gas pipelines under different working conditions. A feature extraction of pipeline …