Multifractality is ubiquitously observed in complex natural and socioeconomic systems.
Multifractal analysis provides powerful tools to understand the complex nonlinear nature of …

Understanding how chromatin is spatially and dynamically organized in the nucleus of
eukaryotic cells and how this affects genome functions is one of the main challenges of cell …

3D point clouds of natural environments relevant to problems in geomorphology (rivers,
coastal environments, cliffs,…) often require classification of the data into elementary …

Recent findings identified electroencephalography (EEG) microstates as the
electrophysiological correlates of fMRI resting-state networks. Microstates are defined as …

Image texture provides a rich visual description of the surfaces in the scene. Many texture
signatures based on various statistical descriptions and various local measurements have …

Scaling temporal dynamics in functional MRI (fMRI) signals have been evidenced for a
decade as intrinsic characteristics of ongoing brain activity (Zarahn et al.,). Recently, scaling …

The use of a swarm of low-cost, mission-specific drones to form a Flying Ad-hoc Network
(FANET) has literally become a'hotspot'in the drone community. A number of studies have …

The study of functional brain–heart interplay has provided meaningful insights in cardiology
and neuroscience. Regarding biosignal processing, this interplay involves predominantly …

Multifractal analysis is considered a promising tool for image processing, notably for texture
characterization. However, practical operational estimation procedures based on a …

A novel method based on wavelet leaders multifractal features for rolling element bearing
fault diagnosis is proposed. The multifractal features, combined with scaling exponents …