Physical approach to complex systems

J Kwapień, S Drożdż - Physics Reports, 2012 - Elsevier
Typically, complex systems are natural or social systems which consist of a large number of
nonlinearly interacting elements. These systems are open, they interchange information or …

Applications of distributed-order fractional operators: A review

W Ding, S Patnaik, S Sidhardh, F Semperlotti - Entropy, 2021 - mdpi.com
Distributed-order fractional calculus (DOFC) is a rapidly emerging branch of the broader
area of fractional calculus that has important and far-reaching applications for the modeling …

Chaos, randomness and multi-fractality in Bitcoin market

S Lahmiri, S Bekiros - Chaos, solitons & fractals, 2018 - Elsevier
Since its inception, the digital currency market is considerably growing, especially in the
most recent years. The main purpose of this paper is to investigate, assess and detect …

Links between annual, Milankovitch and continuum temperature variability

P Huybers, W Curry - Nature, 2006 - nature.com
Climate variability exists at all timescales—and climatic processes are intimately coupled, so
that understanding variability at any one timescale requires some understanding of the …

Wavelet versus detrended fluctuation analysis of multifractal structures

P Oświȩcimka, J Kwapień, S Drożdż - … E—Statistical, Nonlinear, and Soft Matter …, 2006 - APS
We perform a comparative study of applicability of the multifractal detrended fluctuation
analysis (MFDFA) and the wavelet transform modulus maxima (WTMM) method in proper …

Spatio-temporal fluctuations analysis of land surface temperature (LST) using Remote Sensing data (LANDSAT TM5/8) and multifractal technique to characterize the …

S Kimothi, A Thapliyal, A Gehlot, AN Aledaily… - Sustainable Energy …, 2023 - Elsevier
Accurate estimation of the microenvironment and radiative susceptibility, as well as
forecasting of climate and weather scenarios in urban contexts, are critical for achieving …

The structure of climate variability across scales

CLE Franzke, S Barbosa, R Blender… - Reviews of …, 2020 - Wiley Online Library
One of the most intriguing facets of the climate system is that it exhibits variability across all
temporal and spatial scales; pronounced examples are temperature and precipitation. The …

Quantitative features of multifractal subtleties in time series

S Drożdż, J Kwapień, P Oświecimka, R Rak - Europhysics letters, 2010 - iopscience.iop.org
Abstract Based on the Multifractal Detrended Fluctuation Analysis (MFDFA) and on the
Wavelet Transform Modulus Maxima (WTMM) methods we investigate the origin of …

On the application of deep learning and multifractal techniques to classify emotions and instruments using Indian Classical Music

S Nag, M Basu, S Sanyal, A Banerjee… - Physica A: Statistical …, 2022 - Elsevier
Music is often considered as the language of emotions. The way it stimulates the emotional
appraisal across people from different communities, culture and demographics has long …

Multifractality in the stock market: price increments versus waiting times

P Oświe, J Kwapień, S Drożdż - Physica A: Statistical Mechanics and its …, 2005 - Elsevier
By applying the multifractal detrended fluctuation analysis to the high-frequency tick-by-tick
data from Deutsche Börse both in the price and in the time domains, we investigate …