Partial least squares-discriminant analysis (PLS-DA) is a versatile algorithm that can be
used for predictive and descriptive modelling as well as for discriminative variable selection …

As a synergistic integration between spectroscopy and imaging technologies, spectral
imaging modalities have been emerged to tackle quality evaluation dilemmas by proposing …

Food safety is a great public concern, and outbreaks of food-borne illnesses can lead to
disturbance to the society. Consequently, fast and nondestructive methods are required for …

Nowadays, image analysis is becoming more important because of its ability to perform fast
and non-invasive low-cost analysis on products and processes. Image analysis is a wide …

Leaf reflectance spectra have been increasingly used to assess plant diversity. However, we
do not yet understand how spectra vary across the tree of life or how the evolution of leaf …

Species and phylogenetic lineages have evolved to differ in the way that they acquire and
deploy resources, with consequences for their physiological, chemical and structural …

This study aimed to evaluate the potential of near infrared spectroscopy (NIRS) as a fast and
non-destructive tool for detecting and quantifying different adulterants in fresh and frozen …

In this paper, we compare the performance of six different feature selection methods for LC-
MS-based proteomics and metabolomics biomarker discovery—t test, the Mann–Whitney …

The use of near infrared (NIR) hyperspectral imaging and hyperspectral image analysis for
distinguishing between hard, intermediate and soft maize kernels from inbred lines was …

In this study, the reliability and accuracy of hyperspectral imaging technique in tandem with
multivariate analyses were investigated for identification and authentication of different red …