Microbial characterization based on multifractal analysis of metagenomes [PDF]
IntroductionThe species diversity of microbiomes is a cutting-edge concept in metagenomic research. In this study, we propose a multifractal analysis for metagenomic research.Method and ResultsFirstly, we visualized the chaotic game representation (CGR ...
Xian-hua Xie +5 more
doaj +2 more sources
A bivariate multifractal analysis approach to understanding socio-spatial segregation dynamics [PDF]
Although the study of multifractal properties is now an established approach for the statistical analysis of urban data, the joint multifractal analysis of several spatial signals remains largely unexplored.
Janka Lengyel +4 more
doaj +2 more sources
Multifractal analysis of mass function. [PDF]
In order to explore the fractal characteristic in Dempster-Shafer evidence theory, a fractal dimension of mass function is proposed recently, to reveal the invariance of scale of belief entropy. When mass function degenerates to probability, the fractal dimension is equivalent to classical Renyi information dimension only with α=1, which can measure ...
Qiang C, Li Z, Deng Y.
europepmc +4 more sources
Characterization of nanofluids using multifractal analysis of a liquid droplet trace [PDF]
The article presents an innovative approach to the analysis of nanofluids using a nonlinear multifractal algorithm. The conducted research concerned nanofluids prepared from SiO2 nanoparticles (~ 0.01 g) suspended in 100 ml of demineralized water and in ...
J. Augustyniak +7 more
doaj +2 more sources
Multifractal analysis for nutritional assessment. [PDF]
The concept of multifractality is currently used to describe self-similar and complex scaling properties observed in numerous biological signals. Fractals are geometric objects or dynamic variations which exhibit some degree of similarity (irregularity ...
Youngja Park +6 more
doaj +5 more sources
Multifractal analysis of model fractal and multifractal signals
One of the topical directions of modern fractal radio physics is the multifractal analysis of signals and processes of various origins. A set of deterministic and stochastic models of monofractal and multifractal signals and processes in the time domain is proposed.
O.V. Lazorenko +2 more
openaire +3 more sources
The Cross-correlation Structure of Tehran Stock Exchange Indexes by Multifractal Detrended Fluctuation Analysis [PDF]
One of the latest approaches for analyzing the coupled time series is MF-DXA. This technique has been used in many disciplines such as finance. In this paper, we have analyzed Tehran Stock Exchange indexes by MF-DXA and have found a scaling behavior ...
Reza Tehrani +2 more
doaj +1 more source
A New Look at Calendar Anomalies: Multifractality and Day-of-the-Week Effect
Stock markets can become inefficient due to calendar anomalies known as the day-of-the-week effect. Calendar anomalies are well known in the financial literature, but the phenomena remain to be explored in econophysics.
Darko Stosic +4 more
doaj +1 more source
Bootstrap for Multifractal Analysis [PDF]
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.
Herwig Wendt, Patrice Abry
openaire +2 more sources
Fault Diagnosis of Rolling Bearings using Multifractal Detrended Fluctuation Analysis and Mahalanobis Distance Criterion [PDF]
Vibrations of a defective rolling bearing often exhibit nonstationary and nonlinear characteristics which are submerged in strong noise and interference components.
Gu, Fengshou +3 more
core +3 more sources

