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IEEE Transactions on Industrial Informatics, 2021
Sample entropy (SampEn) technologies have been widely applied in diagnosing the faults of industrial systems. However, there are two disadvantages of these technologies. First, all of these technologies measure the distance of two vectors solely based on
Jian Wan, Naixue Xiong, Xiao Wang
exaly +3 more sources
Sample entropy (SampEn) technologies have been widely applied in diagnosing the faults of industrial systems. However, there are two disadvantages of these technologies. First, all of these technologies measure the distance of two vectors solely based on
Jian Wan, Naixue Xiong, Xiao Wang
exaly +3 more sources
Bidimensional Multiscale Fuzzy Entropy and Its Application to Pseudoxanthoma Elasticum
IEEE Transactions on Biomedical Engineering, 2019 Objective: We propose a new bidimensional entropy measure and its multiscale form and evaluate their behavior using various synthetic and real images.
Mirvana Hilal +4 more
semanticscholar +5 more sources
Multiscale Fuzzy Entropy-Based Feature Selection
IEEE Transactions on Fuzzy Systems, 2023In practice, it is common that there will be the same decision results under different scale conditions. Therefore, knowledge representation based on a single scale feature framework is far from meeting the needs of practical applications. Based on this,
Zhihong Wang +4 more
semanticscholar +2 more sources
Rolling Bearing Fault Diagnosis Based on CEEMDAN and Refined Composite Multiscale Fuzzy Entropy
IEEE Transactions on Instrumentation and Measurement, 2021Considering the nonlinear and nonstationary characteristics of rolling bearing vibration signals, we propose a rolling bearing fault diagnosis method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), refined composite
Shu-Zhi Gao, Quan Wang, Yi-Min Zhang
semanticscholar +2 more sources
Modified multiscale fuzzy entropy: A robust method for short-term physiologic signals.
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020The introduction of the multiscale entropy (MSE) method was a milestone in the field of complex physiological signal analysis. However, since MSE is inapplicable for short signals, several variants of MSE have been proposed.
A. M. Borin, L. E. Silva, L. Murta
semanticscholar +3 more sources
Measurement: Journal of the International Measurement Confederation, 2018
Multiscale fuzzy entropy (MFE) has been taken as a prevalent tool for complexity measure of time series. However, the entropy estimation of MFE is sensitive to the preset parameters and will cause an inaccurate and even undefined entropy when the data is
Jinde Zheng
exaly +2 more sources
Multiscale fuzzy entropy (MFE) has been taken as a prevalent tool for complexity measure of time series. However, the entropy estimation of MFE is sensitive to the preset parameters and will cause an inaccurate and even undefined entropy when the data is
Jinde Zheng
exaly +2 more sources
IEEE Journal of Biomedical and Health Informatics, 2020
Idiopathic Pulmonary Fibrosis (IPF) is a chronic, severe, and progressive lung disease with short life expectancy. Based on information theory and entropy measurement, a three-dimensional multiscale fuzzy entropy (MFE$_{3D}$) algorithm is proposed to ...
A. F. Gaudêncio +6 more
semanticscholar +4 more sources
Idiopathic Pulmonary Fibrosis (IPF) is a chronic, severe, and progressive lung disease with short life expectancy. Based on information theory and entropy measurement, a three-dimensional multiscale fuzzy entropy (MFE$_{3D}$) algorithm is proposed to ...
A. F. Gaudêncio +6 more
semanticscholar +4 more sources
Objective-Subjective Consistent Evaluation of Scene Complexity Based on Multiscale Fuzzy Entropy
2025 9th CAA International Conference on Vehicular Control and Intelligence (CVCI)Quantifying the complexity of test scenarios scientifically, selecting representative complex scenarios to construct a comprehensive scenario testing system, has become critical to ensuring the safety of autonomous driving systems.
Haojie Cao +3 more
semanticscholar +2 more sources
Chaos, Solitons and FractalsInternational audienceMultivariate multiscale sample entropy (mvMSE) is a popular method to quantify the irregularity of multi-channel time series. However, mvMSE generates either undefined or unreliable results for short-length signals and has a high ...
Hamed Azami +2 more
exaly +3 more sources
2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
Mild Cognitive Impairment (MCI) is a transitional phase between normal aging and Alzheimer's Disease (AD), necessitating early and precise detection for effective intervention.
Pasquale Arpaia +8 more
semanticscholar +4 more sources
Mild Cognitive Impairment (MCI) is a transitional phase between normal aging and Alzheimer's Disease (AD), necessitating early and precise detection for effective intervention.
Pasquale Arpaia +8 more
semanticscholar +4 more sources