The widespread use of the Internet and the constant increase in users of social media
platforms has made a large amount of textual data available. This represents a valuable …

Abstract The concept of Regional Competitiveness (RC), in the last years, had a
considerable influence on the development of strategies and policies focused on sub …

Abstract Machine learning has profoundly transformed various industries, notably
revolutionizing the retail sector through diverse applications that significantly enhance …

The demands of the modern world are increasingly responsible for causing psychological
burdens and bringing adverse impacts on our mental health. As a result, neural …

Feature selection is an essential task in the field of machine learning, data mining, and
pattern recognition, primarily, when we deal with a large number of features. Feature …

Cluster analysis is a machine learning technique that identifies patterns in a given dataset.
This study uses partition-based clustering techniques to perform unsupervised seismic event …

Background: In order to promote the use of specific Italian guidelines for psychological
interventions during Assisted Reproductive Treatment (ART), we conducted a preliminary …

Superpixel-based segmentation is an important pre-processing step for the simplification of
image processing. The subjective nature behind the determination of optimal cluster …

Landslides are known natural hazard that significantly impacts human lives by damaging
assets and infrastructures. It is tough to collect field data due to the non-access of various …

One of the causes of forest fires is the lack of speed of handling when a fire occurs. This can
be anticipated by determining how many extinguishing units are in the center of the hot spot …