In the past few decades, the banking sector has increasingly recognized the significance of
an automated system for managing significant data quality, leading to a growing focus on …

The multiscale dispersion entropy (MDE), which measures the irregularity or chaos of 1-D
univariate time series through a dispersion pattern, is a useful tool to extract features from …

Building typologies are usually classified according to their shape, distribution and
construction features depending on the time period they were built. As a result, a subjective …

OBJECTIVE The objective of this study was to investigate the use of indocyanine green
videoangiography with FLOW 800 hemodynamic parameters intraoperatively during …

Background Smartphone users are a heterogeneous group, implying that certain user types
might be distinguishable by the way they interact with a smartphone-based intervention. As …

The application of modern machine learning methods in industrial settings is a relatively
new challenge and remains in the early stages of development. Current computational …

The controlling hydrogeochemical processes of an intermontane aquifer in central Mexico
were identified through multivariate statistical analysis. Hierarchical cluster (HCA) and k …

The hierarchical dispersion entropy (HDE) algorithm, which combines hierarchical
decomposition and dispersion entropy (DE), can extract multifrequency features from …

The link between peer exposure and self-regulation is likely to vary as a function of the type
and quality of peer interaction. In the presented research study, the relationship between self …

The population sizes of manatees in many regions remain largely unknown, primarily due to
the challenging nature of conducting visual counts in turbid and inaccessible aquatic …