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 …

A robust fuzzy clustering model for mixed data is proposed. For each variable, or attribute, a
proper dissimilarity measure is computed and the clustering procedure combines the …

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 methodological contribution in this paper is motivated by biomechanical studies where
data characterizing human movement are waveform curves representing joint measures …

The increase in global population and the improvement of living standards in develo**
countries has resulted in higher solid waste generation. Solid waste management …

For the first time, the fault tree map** dynamic Bayesian network (DBN) method is applied
to the reliability research study of centrifugal compressor units, and its usability and reliability …

Burnout is a serious problem in modern society and early detection methods are needed to
successfully handled its multiple effects. The latter refer to working well-being, as well as to …

The paper suggests the use of the functional data analysis approach to study the evolution
of well being indicators, visualizing their behaviour over time. Thus, an evolutionary well …

Many conventional statistical and machine learning methods face challenges when applied
directly to high dimensional temporal observations. In recent decades, Functional Data …