Approximate Entropy in Canonical and Non-Canonical Fiction. [PDF]
Entropy (Basel), 2022 Computational textual aesthetics aims at studying observable differences between aesthetic categories of text. We use Approximate Entropy to measure the (un)predictability in two aesthetic text categories, i.e., canonical fiction (‘classics’) and non ...
Mohseni M, Redies C, Gast V.
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Approximate Entropy and Sample Entropy: A Comprehensive Tutorial. [PDF]
Entropy (Basel), 2019 Approximate Entropy and Sample Entropy are two algorithms for determining the regularity of series of data based on the existence of patterns. Despite their similarities, the theoretical ideas behind those techniques are different but usually ignored ...
Delgado-Bonal A, Marshak A.
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A Novel Fault Diagnosis Method for a Power Transformer Based on Multi-Scale Approximate Entropy and Optimized Convolutional Networks. [PDF]
Entropy (Basel)Dissolved gas analysis (DGA) in transformer oil, which analyzes its gas content, is valuable for promptly detecting potential faults in oil-immersed transformers.
Shang H, Liu Z, Wei Y, Zhang S.
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Dynamic approximate entropy electroanatomic maps detect rotors in a simulated atrial fibrillation model. [PDF]
PLoS One, 2014 There is evidence that rotors could be drivers that maintain atrial fibrillation. Complex fractionated atrial electrograms have been located in rotor tip areas.
Ugarte JP +9 more
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Evaluation of Bubble Entropy Using Heart Rate Variability. [PDF]
Entropy (Basel)Bubble entropy has established its own place in the research community, representing a new and promising definition of entropy. Based on the work required to order a vector in an embedding space of dimension m, Bubble entropy gives a physical ...
Platakis D, Sassi R, Manis G.
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The determination of human creative thinking by employing machine learning classification on EEG signals. [PDF]
Front PsycholBackground and objectiveTraditional creativity assessments are limited by subjectivity and high labor costs. Although machine learning (ML) offers objective alternatives, its application to EEG-based creativity evaluation remains scarce. This study aimed
Zou J, Yuan F, Zhou S, Yang J, Liu C.
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Combination of R-R Interval and Crest Time in Assessing Complexity Using Multiscale Cross-Approximate Entropy in Normal and Diabetic Subjects. [PDF]
Entropy (Basel), 2018 The present study aimed at testing the hypothesis that application of multiscale cross-approximate entropy (MCAE) analysis in the study of nonlinear coupling behavior of two synchronized time series of different natures [i.e., R-R interval (RRI) and ...
Xiao MX, Wei HC, Xu YJ, Wu HT, Sun CK.
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Information sharing among cryptocurrencies: Evidence from mutual information and approximate entropy during COVID-19. [PDF]
Financ Res Lett, 2022 Assaf A, Charif H, Demir E.
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The Changes of qEEG Approximate Entropy during Test of Variables of Attention as a Predictor of Major Depressive Disorder. [PDF]
Brain Sci, 2020 Chen ST, Ku LC, Chen SJ, Shen TW.
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EEG Signals Feature Extraction Based on DWT and EMD Combined with Approximate Entropy. [PDF]
Brain Sci, 2019 Ji N, Ma L, Dong H, Zhang X.
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