Fractal structures are found in biomedical time series from a wide range of physiological
phenomena. The multifractal spectrum identifies the deviations in fractal structure within time …

With the mounting realization that variability is an inevitable part of human behavior comes
the need to integrate this phenomenon in concomitant models and theories of motor control …

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 …

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

The rapid development of Internet of Things (IoT) technology, together with mobile network
technology, has created a never-before-seen world of interconnection, evoking research on …

Schizophrenia has a complex etiology and symptomatology that is difficult to untangle. After
decades of research, important advancements toward a central biomarker are still lacking …

Recently, a growing interest has emerged for examining the potential of Image Processing
tools to assist Art Investigation. Simultaneously, several research works showed the interest …

CSI 800 index consists of CSI 500 index and CSI 300 index, aiming to reflect the
performance of stocks with large, mid and small size of China A share market. In this paper …

Response time series with a non-Gaussian distribution and long-range dependent dynamics
have been reported for several cognitive tasks. Conventional monofractal analyses …

Penalized least squares are widely used in signal and image processing. Yet, it suffers from
a major limitation since it requires fine-tuning of the regularization parameters. Under …