Principal component analysis (PCA) is a multivariate technique that analyzes a data table in
which observations are described by several inter‐correlated quantitative dependent …

Multiple factor analysis (MFA, also called multiple factorial analysis) is an extension of
principal component analysis (PCA) tailored to handle multiple data tables that measure …

Research on water quality is a fundamental step in supporting the maintenance of
environmental and human health. The elements involved in water quality analysis are …

The demand and interest in big data analytics are increasing rapidly. The concepts around
big data include not only existing structured data, but also various kinds of unstructured data …

This study was focused on development of a rapid and sensitive method for histamine
determination in fish based on Surface Enhanced Raman Spectroscopy (SERS) using …

The European Commission has been striving to achieve sustainable development in its rural
areas for more than 25 years through funds aimed at modernizing the agricultural and …

Predicting crop yields and their spatio-temporal variability under a changing climate is a
challenging but essential undertaking for crop management and policymaking purposes …

Theories developed and validated using ethnographic and historical resources are often
difficult to examine using sparse or fragmentary archaeological material. However, a number …

An iris recognition system for identifying human identity using two feature extraction methods
is proposed and implemented. The first approach is the Fourier descriptors, which is based …

To establish a universal analytical tool that could be used as a bioactive quality
determination procedure on medicinal plant extracts, a range of spectrophotometric assays …