Currently, many applications have emerged from the implementation of software
development and hardware use, known as the Internet of things. One of the most important …

Scientific progress has contributed to creating many devices to gather vast amounts of
biomedical data over time. The goal of these devices is generally to monitor people's health …

Technological advancement led to the development of tools to collect vast amounts of data
usually recorded at temporal stamps or arriving over time, eg data from sensors. Common …

This paper offers a supervised classification strategy that combines functional data analysis
with unsupervised and supervised classification methods. Specifically, a two-steps …

The pattern of intertemporal preferences is related to critical behavioural aspects involving
individuals' emotional and cognitive spheres. The characteristics of the discount function can …

Abstract Background In Europe, flu vaccination coverage has decreased, and there are
complex barriers to overcome to vaccinate against flu. Many studies have been conducted to …

As one of the most commonly used clustering methods, the fuzzy C-means (FCM) clustering
strategy extends the notion of hard clustering to associate each pattern with every cluster …

Diversity is fundamental in many disciplines, such as ecology, business, biology, and
medicine. From a statistical perspective, calculating a measure of diversity, whatever the …

The motivation behind this research stems from the inherent complexity and vagueness in
human social interactions, which traditional Social Network Analysis (SNA) approaches …

Classification of wind speed pattern is useful in several fields, such as studying the long-
term effects on the environment and estimating wind energy potential. Nowadays, analyzing …