Results 61 to 70 of about 3,883 (207)
On the long-term correlations and multifractal properties of electric arc furnace time series
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]
9 pages, 8 ...
Juan Luis Lopez +1 more
openaire +3 more sources
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
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
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]
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
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
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
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

