Functional data analysis is typically conducted within the L²-Hilbert space framework. There is by now a fully developed statistical toolbox allowing for the principled application of the functional ...

Immunologists typically employ several in vitro techniques to analyze immune system cells, including flow cytometry, polymerase chain reaction (PCR) tests, and various enzyme-linked immunosorbent ...

Gap analysis describes differences between required and actual systems. You can use it to analyze both computer systems and other business functions. Functional gap analysis characterizes the ...

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 ...

The USA food premix market is entering a high-growth phase, supported by rising health consciousness, regulatory-driven ...

Functional analysis has a long history in psychology. Originally borrowed from mathematics (Ponte, 1992), it is the central concept in behavior analysis, the perspective on psychology created by B. F.