Results 21 to 30 of about 2,043,515 (147)
, 2023 Abstract The Yanhe watershed, located in the Loess Plateau of China, is a representative loess hilly-gully and ecologically fragile region, posing a critical challenge for sustainable sediment management. Regarding the watershed as a vibrant complex system, this study investigated sediment concentration dynamics in the Yanhe watershed from the ...
Xintong Liu, Hongrui Zhao
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Earth, Planets and Space, 2021 Magnetotelluric (MT) data processing can increase the reliability of measured data. Traditional MT data denoising methods are usually applied to entire MT time-series, which results in the loss of useful MT signals and a decrease of imaging accuracy of ...
Xian Zhang +5 more
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Multivariate refined composite multiscale entropy analysis [PDF]
, 2016 Multiscale entropy (MSE) has become a prevailing method to quantify signals complexity. MSE relies on sample entropy. However, MSE may yield imprecise complexity estimation at large scales, because sample entropy does not give precise estimation of ...
A. Humeau-Heurtier +1 more
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Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals [PDF]
, 2017 Objective: We propose a novel complexity measure to overcome the deficiencies of the widespread and powerful multiscale entropy (MSE), including, MSE values may be undefined for short signals, and MSE is slow for real-time applications.Methods: We ...
Abasolo, Daniel Emilio +7 more
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, 2016 Multiscale entropy (MSE) is an appealing tool to characterize the complexity of time series over multiple temporal scales. Recent developments in the field have tried to extend the MSE technique in different ways. Building on these trends, we propose the
Azami, Hamed, Escudero, Javier
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Computational Intelligence and Neuroscience, 2019 Feature extraction of motor imagery electroencephalogram (MI-EEG) has shown good application prospects in the field of medical health. Also, multivariate entropy-based feature extraction methods have been gradually applied to analyze complex multichannel biomedical signals, such as EEG and electromyography.
Mingai Li +3 more
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Fault line selection method for coal mine power grid based on RCMDE and KFCM
Gong-kuang zidonghua, 2022 It is difficult to accurately select the fault line when the single-phase ground fault occurs in the coal mine power grid with the widely used resonant grounding system.
HAN Guoguo +4 more
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IEEE Access, 2019 Lung cancer is the major cause of cancer-related deaths worldwide with poor survival due to the poor diagnostic system at the advanced cancer stage. In the past, researchers developed computer-aided diagnosis (CAD) systems, which were greatly used by the
Lal Hussain +5 more
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Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases
IEEE Access, 2019 Fluctuation-based dispersion entropy (FDispEn) is a new approach to estimate the dynamical variability of the fluctuations of signals. It is based on Shannon entropy and fluctuation-based dispersion patterns.
Hamed Azami +6 more
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, 2023 The study focuses on the fault signals of rolling bearings, which are characterized by nonlinearity, periodic impact, and low signal-to-noise ratio.
Hong Liu +5 more
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