Last decade's advances and modern aspects of near infrared spectroscopy are critically
examined and reviewed. Innovative instrumentation, highlighted by portable and imaging …

With the advances in innovative instrumentation and various valuable applications, near-
infrared (NIR) spectroscopy has become a mature analytical technique in various fields …

Wavelength (variable) selection is considered as a means of solving the curse of
dimensionality, which is an important step in multivariate calibration of near-infrared spectra …

The aim of this research was to develop a deep learning method which involved wavelet
transform (WT) and stack convolution auto encoder (SCAE) for extracting compound heavy …

Early detection of internal bruise is one of the major challenges in postharvest quality sorting
processes in Lingwu long jujube. In this study, the visible/near infrared (VIS/NIR) …

When analyzing high-dimensional near-infrared (NIR) spectral datasets, variable selection
is critical to improving models' predictive abilities. However, some methods have many …

In this study, a new variable selection method called bootstrapping soft shrinkage (BOSS)
method is developed. It is derived from the idea of weighted bootstrap sampling (WBS) and …

Olive oil adulteration with waste cooking oil was detected and quantified by combining
optical Raman scattering spectroscopy and chemometrics. Spectra of 96 olive oil samples …

Bruising is one of the major challenges appearing in the postharvest grading and
processing of Lingwu long jujubes, which leads to quality deterioration and microbial …

Raman spectroscopy and surface‐enhanced Raman spectroscopy (SERS) have been
extensively explored in the design of accurate, transparent, and conclusive food safety and …