Results 41 to 50 of about 2,503 (143)
Distribution of Air Temperature Multifractal Characteristics Over Greece
Atmosphere, 2019 In this study, Multifractal Detrended Fluctuation Analysis (MF-DFA) is applied to daily temperature time series (mean, maximum and minimum values) from 22 Greek meteorological stations with the purpose of examining firstly their scaling behavior and then
Nikolaos Kalamaras +4 more
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Integrating Multifractal Features into Machine Learning for Improved Prediction
Fractal and FractionalThis study investigates the multifractal characteristics of the tanker freight market from 1998 to 2024. Using multifractal detrended fluctuation analysis (MF-DFA) and multifractal detrending moving average (MF-DMA), we analyze temporal correlations and ...
Feier Chen +4 more
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Tool Embodiment Is Reflected in Movement Multifractal Nonlinearity
Fractal and Fractional, 2022 Recent advances in neuroscience have linked dynamical systems theory to cognition. The main contention is that extended cognition relies on a unitary brain-body-tool system showing the expected signatures of interaction-dominance reflected in a ...
Yvan Pratviel +3 more
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Analysis of normal human retinal vascular network architecture using multifractal geometry
International Journal of Ophthalmology, 2017 AIM: To apply the multifractal analysis method as a quantitative approach to a comprehensive description of the microvascular network architecture of the normal human retina.
Ştefan Ţălu +4 more
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Discover GeoscienceThis study investigates the nonlinear and multifractal behavior of atmospheric parameters and particulate matter (PM10) in South Africa. We employed nonlinear techniques such as Sample Entropy, Lyapunov Exponent, and Correlation Dimension, alongside ...
Samuel Ogunjo +3 more
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Multifractal analysis of DNA [PDF]
Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341), 2002 This paper presents a multifractal analsyis technique for deoxyribonucleic acid (DNA). A brief overview of sequencing and multifractal measures is given along with multifractal spectrum data. Fractal characterization is shown to have high potential as a valuable tool in DNA analysis.
R. Rifaat, W. Kinsner, P. McAlpine
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Bootstrap for Multifractal Analysis [PDF]
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006 Multifractal analysis, which mainly consists in estimating scaling exponents, has become a popular tool for empirical data analysis. Although widely used in different applications, the statistical performance and the reliability of the estimation procedures are still poorly known.
Abry, Patrice, Wendt, Herwig
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Fractal and FractionalMultifractal analysis has been used in the exploration of soil grain size distributions (GSDs) in environmental and agricultural research. However, multifractal studies regarding the GSDs of sediments in braided delta-front are currently scarce.
Rui Yuan, Zijin Yan, Rui Zhu, Chao Wang
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Multifractal analysis of Bitcoin price dynamics
Journal of Business Economics and ManagementThis research employs Multifractal Detrended Fluctuation Analysis (MFDFA) to investigate multifractal properties in financial variables, including Bitcoin prices and economic indicators.
Cristian Bucur +3 more
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Multifractal variability in geoelectrical signals and correlations with seismicity: a study case in southern Italy [PDF]
Natural Hazards and Earth System Sciences, 2005 Multifractal fluctuations in the time dynamics of geoelectrical data, recorded in a seismic area of southern Italy, have been revealed using the Multifractal Detrended Fluctuation Analysis (MF-DFA), which allows to detect multifractality in nonstationary
L. Telesca, G. Colangelo, V. Lapenna
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