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

Given the limitations of traditional classification methods based on port number and payload
inspection, a large number of studies have focused on develo** classification approaches …

Intrapartum fetal heart rate monitoring, aiming at early acidosis detection, constitutes an
important public health stake. Scattering transform is proposed here as a new tool to analyze …

Chatter in machining results in poor workpiece surface quality and short tool life. An
accurate and reliable chatter detection method is needed before its complete development …

Background Obesity is considered problematic not only as a major cause of diabetes,
hypertension, and dyslipidemia, but also as a risk of intractable dermatosis; however …

Multi-scale non-Gaussian time-series having stationary increments appear in a wide range
of applications, particularly in finance and physics. We introduce stochastic models that …

Internet traffic monitoring is a crucial task for the security and reliability of communication
networks and Internet of Things (IoT) infrastructure. This description of the traffic statistics is …

We introduce a new method of characterizing the seismic complex systems using a
procedure of transformation from complex networks into time series. The undirected complex …

We performed multifractal analysis of fetal heart rate (FHR) variability in fetuses with and
without acidosis during labor. Multifractal analysis was performed on fetal …

We review the central results concerning wavelet methods in multifractal analysis, which
consists in analysis of the pointwise singularities of a signal, and we describe its recent …