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Multifractal variability in geoelectrical signals and correlations with seismicity: a study case in southern Italy [PDF]
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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Integrating Multifractal Features into Machine Learning for Improved Prediction
This 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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This 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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A multifractal formalism relates multiscale quantities to the multifractal spectrum. The multifractal framework provides significant analytical advantages by incorporating a wide range of statistical moment orders (q), thereby enabling a more ...
Alvaro Alberto López-Lambraño +4 more
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Evidence of multifractal structures has spread to a wider set of physiological time series supporting the intricate interplay of biological and psychological functioning.
Madhur Mangalam +2 more
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This paper investigates the nonlinear dynamics of atmospheric aerosols during the transition from laminar to turbulent flows using the framework of Scale Relativity Theory.
Marius Mihai Cazacu +8 more
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Multifractal analysis of Bitcoin price dynamics
This 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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Heart rate variability series during physical activity analyzed with multifractal techniques
Our study uses multifractal techniques to analyze time series of heart rate variability series ( RR time series) during rest and physical activity. Subsets of the RR time series data were extracted for each stage.
Ana María Aguilar-Molina +3 more
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ОТНОСИТЕЛЬНЫЕ РАЗМЕРНОСТИ РЕНЬИ
Recently, many authors are discussing the use of methods of fractal geometry [5] to compare the distributions of the various measures. However, in practical applications, comparison of distributions by comparing the calculated multifractal spectra can be
СВЕТОВА Н.Ю.
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