Results 121 to 130 of about 18,134 (280)
EEG based cognitive task classification using multifractal detrended fluctuation analysis. [PDF]
Cogn Neurodyn, 2021 Gaurav G, Anand RS, Kumar V.
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British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The stationary autoregressive model forms an important base of time‐series analysis in today's psychology research. Diverse nonstationary extensions of this model are developed to capture different types of changing temporal dynamics. However, researchers do not always have a solid theoretical base to rely on for deciding a‐priori which of ...
Yong Zhang +4 more
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Jixie chuandong, 2014 The fault signal of the gearbox is the complex signal of the non-stationary and nonlinear characteristics,by using the multifractal detrended fluctuation analysis（MF-DFA）and the support vector machine（SVM）to diagnose the fault of the gearbox.The ...
刘春林 +3 more
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IEEE AccessA novel 2-dimensional Multifractal Detrended Fluctuation Analysis (2D-MFDFA) as a discriminator for Generative Adversarial Networks (GAN) is presented in this work. The proposed approach demonstrates improved generated data quality at early iterations on
Charudatta Gurudas Korde +4 more
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Removal of Dust Microelectric Signal Based on Empirical Mode Decomposition and Multifractal Detrended Fluctuation Analysis. [PDF]
Comput Intell Neurosci, 2021 Li J, Sun Y, Cheng X.
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Untangling nutrient co‐regulation of ombrotrophic peatland development
Boreas, EarlyView.Multi‐method (FTIR, FT‐NIR and TGA) approaches characterizing the organic peat constituents at Holcroft Moss reveal a record of switches that reflect broadly hydroclimate variability governing the decomposition patterns. There are periods, however, where hydroclimate does not fully explain the variability observed and instead changes appear linked to ...
Richard C. Chiverrell +6 more
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Analysis of global geomagnetic variability [PDF]
Nonlinear Processes in Geophysics, 2007 The orthogonal field components from global INTERMAGNET magnetometer stations are studied via multifractal detrended fluctuation analysis to determine whether there are clear and consistent regional patterns in the behavior of the fluctuations. There are
V. Anh, Z.-G. Yu, J. A. Wanliss
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Evaluation of non-linear heart rate variability using multi-scale multi-fractal detrended fluctuation analysis in mice: Roles of the autonomic nervous system and sinoatrial node. [PDF]
Front Physiol, 2022 Moghtadaei M, Dorey TW, Rose RA.
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Advances in Electrocardiogram‐Based Non‐Invasive Blood Glucose Monitoring Technology
Diabetes, Obesity and Metabolism, EarlyView.ABSTRACT Blood glucose monitoring is fundamental to diabetes management, yet traditional invasive methods are limited by patient discomfort and infection risks. In recent years, electrocardiogram (ECG), a conventional tool for cardiovascular assessment, has gained attention as a prospective method for non‐invasive blood glucose monitoring.
Qi Zeng +5 more
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Multifractal Detrended Fluctuation Analysis Combined with Allen–Cahn Equation for Image Segmentation
Fractal and FractionalThis study proposes a novel image segmentation method, MF-DFA combined with the Allen–Cahn equation (MF-AC-DFA). By utilizing the Allen–Cahn equation instead of the least squares method employed in traditional MF-DFA for fitting, the accuracy and ...
Minzhen Wang +5 more
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