Functional Data Analysis (FDA) is an increasingly central statistical framework that extends conventional data analysis to observations recorded as functions, curves or shapes. This approach ...

The paradigm in nutritional science is shifting from studying isolated nutrients to understanding the complex food matrix.

Functional verification is computationally and data-intensive by nature, making it a natural target of machine learning applications. This paper provides a comprehensive and up-to-date analysis of FV ...