This article presents a bibliometric analysis and a mapping of the intellectual and conceptual
structure of the research conducted on 'Compositional Data'(CoDa) in Social Sciences …

Different food processing parameters may alter starch granule structure and its cooking
degree. With lower thermomechanical energy, more resistant starch (RS) is retained in the …

The chemical composition of river waters represents an important matter of investigation to
understand environment modifications in response to climate changes and global warming …

This paper presents an individualized multiple linear regression model based on
compositional data where we predict the mean and coefficient of variation of blood glucose …

The rapid progression of technology and robotics has brought about a transformative
revolution in various fields. From industrial automation to healthcare and beyond, robots …

This paper proposes a novel approach to recursively estimate the parameters of Beta-
Liouville Hidden Markov Model (HMM). With the rapidly increasing volume of data …

A significant volume of data has been produced in this era. Therefore, accurately modeling
these data for further analysis and extraction of meaningful patterns is becoming a major …