Statistical analysis is essential in research. As modern production processes evolve, the increasing volume of data needing processing has demanded techniques like multivariate analysis for ...

Vascular calcification (VC), characterized by calcium deposition in arterial walls, is a major risk factor for cardiovascular morbidity and mortality. While genome-wide association studies (GWAS) have ...

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Abstract: This work introduces the use of multivariate global sensitivity analysis for assessing the impact of uncertain electric machine design parameters on efficiency maps and profiles. Contrary to ...

Archetypal Analysis is a matrix-factorisation approach that identifies a small set of extreme representative points, or archetypes, at the periphery of a multivariate dataset’s convex hull. Each data ...

Abstract: This study conducts a comprehensive multivariate analysis of brain function consistency across tasks among children with Attention Deficit Hyperactivity Disorder (ADHD) based on functional ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

ABSTRACT: Academic achievement has been the subject of extensive investigation, highlighting the importance of individual, cognitive, and behavioral factors that influence students’ performance. Among ...