Results 61 to 70 of about 3,883 (207)

On the long-term correlations and multifractal properties of electric arc furnace time series

open access: yes, 2015
In this paper, we study long-term correlations and multifractal properties elaborated from time series of three-phase current signals coming from an industrial electric arc furnace plant.
Livi, Lorenzo   +3 more
core   +1 more source

Performance of multifractal detrended fluctuation analysis on short time series [PDF]

open access: yesPhysical Review E, 2013
9 pages, 8 ...
Juan Luis Lopez   +1 more
openaire   +3 more sources

Informational Efficiency in Cryptocurrency Markets: A Bibliometric and Thematic Literature Review (2015–2024)

open access: yesJournal of Economic Surveys, Volume 40, Issue 1, Page 443-468, February 2026.
ABSTRACT Cryptocurrency markets are known for their wide price fluctuations, lack of central control, and fast‐paced development. These characteristics present serious challenges to traditional theories about how markets work and how prices reflect available information.
Giulia Fantini, Joy Jia, Chiara Oldani
wiley   +1 more source

Analysis of the structural complexity of Crab Nebula observed at radio frequency using a multifractal approach

open access: yesJournal of Physics: Complexity
The Crab Nebula is an astrophysical system that exhibits complex morphological patterns at different observing frequencies. We carry out a systematic investigation of the structural complexity of the nebula using publicly available imaging data at radio ...
Athokpam Langlen Chanu   +4 more
doaj   +1 more source

Multifractal detrended cross-correlation analysis for two nonstationary signals

open access: yes, 2008
It is ubiquitous in natural and social sciences that two variables, recorded temporally or spatially in a complex system, are cross-correlated and possess multifractal features.
A. N. Kravchenko   +3 more
core   +1 more source

Tissue multifractality and Born approximation in analysis of light scattering: a novel approach for precancers detection [PDF]

open access: yes, 2014
Multifractal, a special class of complex self-affine processes, are under recent intensive investigations because of their fundamental nature and potential applications in diverse physical systems.
Ch Ivanov Plamen   +20 more
core   +1 more source

Cotton Yield Prediction Model Based on Hyperspectral Feature Fusion and Machine Learning

open access: yesModern Agriculture, Volume 3, Issue 2, December 2025.
This study integrates hyperspectral feature fusion with machine learning to advance cotton yield prediction. The approach adapts financial multifractal analysis (MF‐DFA) to agriculture by fusing fractal canopy features with vegetation indices for enhanced modelling. Results demonstrate that combining VI and fractal parameters during the flower and boll
Liang Li   +4 more
wiley   +1 more source

Emergence From the Complex Interactions of Epidemics, Droughts, and Floods: Insights From Ming and Qing Dynasties of China During 1470–1911

open access: yesGeoHealth, Volume 9, Issue 12, December 2025.
Abstract With the many health implications of droughts and floods known, and the many adverse secondary and tertiary effects of the Covid‐19 pandemic still lingering, it is important to study the complex interactions of epidemics, droughts, and floods.
Jianbo Gao   +5 more
wiley   +1 more source

Multifractal Analysis of Hydrologic Data Using Wavelet Methods and Fluctuation Analysis

open access: yesDiscrete Dynamics in Nature and Society, 2017
We study the multifractal properties of water level with a high-frequency and massive time series using wavelet methods (estimation of Hurst exponents, multiscale diagram, and wavelet leaders for multifractal analysis (WLMF)) and multifractal detrended ...
Tongzhou Zhao   +3 more
doaj   +1 more source

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