Results 31 to 40 of about 1,200,520 (247)

Fault Diagnosis of Hydraulic Pumps Using PSO-VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy

Shock and Vibration, 2020
Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the dynamic features of complex signals recently. Compared with multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), MFDE has higher calculation efficiency and ...
Fuming Zhou, Xiaoqiang Yang, Jinxing Shen, Wuqiang Liu   +3 more
doaj   +1 more source

Estimation of SSVEP-based EEG complexity using inherent fuzzy entropy [PDF]

, 2017
© 2017 IEEE. This study considers the dynamic changes of complexity feature by fuzzy entropy measurement and repetitive steady-state visual evoked potential (SSVEP) stimulus.
Mukesh Prasad, Cao, Z., Zehong Cao, Prasad, M, Cao, Z, Prasad, M., Lin, C.T., Lin, CT, Chin-Teng Lin   +8 more
core   +1 more source

Bearing Fault Diagnosis Using Refined Composite Generalized Multiscale Dispersion Entropy-Based Skewness and Variance and Multiclass FCM-ANFIS

Entropy, 2021
Bearing vibration signals typically have nonlinear components due to their interaction and coupling effects, friction, damping, and nonlinear stiffness. Bearing faults affect the signal complexity at various scales.
Mostafa Rostaghi, Mohammad Mahdi Khatibi, Mohammad Reza Ashory, Hamed Azami   +3 more
doaj   +1 more source

Type-2 Fuzzy Entropy-Sets [PDF]

, 2017
The final goal of this study is to adapt the concept of fuzzy entropy of De Luca and Termini to deal with Type-2 Fuzzy Sets. We denote this concept Type-2 Fuzzy Entropy-Set.
Sesma Sara, Mikel, Bedregal, B, Bustince Sola, Humberto, Bustince, H, Santos, H, Jurío Munárriz, Aránzazu, Sesma-Sara, M, Santos, Helida, Jurio, A, Miguel Turullols, Laura de, Hagras, H, De Miguel, L, Bedregal, Benjamin   +12 more
core   +1 more source

On the Application of Entropy Measures with Sliding Window for Intrusion Detection in Automotive In-Vehicle Networks

Entropy, 2020
The evolution of modern automobiles to higher levels of connectivity and automatism has also increased the need to focus on the mitigation of potential cybersecurity risks.
Gianmarco Baldini
doaj   +1 more source

Amplitude- and Fluctuation-Based Dispersion Entropy [PDF]

, 2018
Dispersion entropy (DispEn) is a recently introduced entropy metric to quantify the uncertainty of time series. It is fast and, so far, it has demonstrated very good performance in the characterisation of time series.
Hamed Azami, Javier Escudero, Azami, Hamed, Escudero, Javier; id_orcid, Escudero, Javier   +4 more
core   +1 more source

Complexity Analysis and Synchronization Control of Fractional-Order Jafari-Sprott Chaotic System

IEEE Access, 2020
Aiming at the complexity problem of fractional-order Jafari-Sprott chaotic system, in this paper, Adomian decomposition method is used to study its numerical analysis and a complexity analysis method of fractional-order Jafari-Sprott chaotic system based
Guohui Li, Xiangyu Zhang, Hong Yang
doaj   +1 more source

Application of the Two-Dimensional Entropy Measures in the Infrared Thermography-Based Detection of Rider: Horse Bodyweight Ratio in Horseback Riding

Sensors, 2022
As obesity is a serious problem in the human population, overloading of the horse’s thoracolumbar region often affects sport and school horses. The advances in using infrared thermography (IRT) to assess the horse’s back overload will shortly integrate ...
Małgorzata Domino, Marta Borowska, Łukasz Zdrojkowski, Tomasz Jasiński, Urszula Sikorska, Michał Skibniewski, Małgorzata Maśko   +6 more
doaj   +1 more source

Z-Delphi: A Z-Number-Based Delphi Technique for Technological Forecasting to Reduce Optimism/Pessimism Bias in Experts’ Convergent Opinions

International Journal of Computational Intelligence Systems, 2023
The Delphi technique is an indispensable instrument for technology forecasting. The method is, however, limited by ambiguity aversion, uncertainty, and statistical optimism/pessimism bias.
Kushal Anjaria
doaj   +1 more source

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, Steven E. Arnold, Saeid Sanei, Zhuoqing Chang, Guillermo Sapiro, Javier Escudero, Anoopum S. Gupta   +6 more
doaj   +1 more source