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 …

Nowadays, with a high dimensionality of dataset, it faces a great challenge in the creation of
effective methods which can select an optimal variables subset. In this study, a strategy that …

Wavelength selection is a critical step for producing better prediction performance when
applied to spectral data. Considering the fact that the vibrational and rotational spectra have …

Variable selection is a critical step for designing a dedicated multispectral real-time system
from multicollinearity spectral data. It improves the prediction ability of the calibration model …

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 …

Variable (wavelength or feature) selection techniques have become a critical step for the
analysis of datasets with high number of variables and relatively few samples. In this study, a …

The long-term storage of rice will inevitably be involved in the deterioration of edible quality,
and aged rice poses a great threat to food safety and human health. The acid value can be …

Rapid and in-situ estimation of apple quality and maturity is of great significance to
guarantee the quality of apples and the profit of the industry. This study explored the utility of …

The effect of soil organic matter (SOM) on the spectral characteristics of soil differs among
soil samples of different soil types with various mineral contents or mechanical …