Results 31 to 40 of about 4,559,445 (294)
Accelerating the Computation of Entropy Measures by Exploiting Vectors with Dissimilarity
Entropy, 2017 In the diagnosis of neurological diseases and assessment of brain function, entropy measures for quantifying electroencephalogram (EEG) signals are attracting ever-increasing attention worldwide.
Yun Lu +3 more
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Speech Endpoint Detection Based on Multi-scale Sample Entropy and Threshold [PDF]
Jisuanji gongcheng, 2016 In order to overcome the defect that sample entropy can be falsely detected due to its sensitivity to the suddenly changing noise,this paper proposes a speech endpoint detection algorithm.This algorithm does the multi-scale transform for the speech ...
WANG Bo,YU Fengqin
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Acknowledgment to Reviewers of Entropy in 2020
, 2021 Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Entropy maintains its standards for the high quality of its published papers [...
Entropy Editorial Office Entropy Editorial Office
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Analysis of Streamflow Complexity Based on Entropies in the Weihe River Basin, China
Entropy, 2019 The study on the complexity of streamflow has guiding significance for hydrologic simulation, hydrologic prediction, water resources planning and management. Utilizing monthly streamflow data from four hydrologic control stations in the mainstream of the
Weijie Ma, Yan Kang, Songbai Song
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Maximum entropy estimation for survey sampling [PDF]
Journal of Statistical Planning and Inference, 2011 25 ...
Gamboa, Fabrice +2 more
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On integrating size and shape distributions into a spatio-temporal information entropy framework [PDF]
, 2019 Understanding the structuration of spatio-temporal information is a common endeavour to many disciplines and application domains, e.g., geography, ecology, urban planning, epidemiology.
Christophe Claramunt +5 more
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Maximum-entropy remote sampling
Discrete Applied Mathematics, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kurt M. Anstreicher +3 more
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Classification of Five-Second Epileptic EEG Recordings Using Distribution Entropy and Sample Entropy
Frontiers in Physiology, 2016 Epilepsy is an electrophysiological disorder of the brain, the hallmark of which is recurrent and unprovoked seizures. Electroencephalogram (EEG) measures electrical activity of the brain that is commonly applied as a non-invasive technique for seizure ...
Peng eLi +4 more
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A Multithreaded Algorithm for the Computation of Sample Entropy
Algorithms, 2023 Many popular entropy definitions for signals, including approximate and sample entropy, are based on the idea of embedding the time series into an m-dimensional space, aiming to detect complex, deeper and more informative relationships among samples. However, for both approximate and sample entropy, the high computational cost is a severe limitation ...
George Manis +2 more
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Remote Sensing, 2022 Approximation of entropies of various types using machine learning (ML) regression methods are shown for the first time. The ML models presented in this study define the complexity of the short time series by approximating dissimilar entropy techniques ...
Andrei Velichko +3 more
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