Due to its speed and precision, near-infrared reflectance spectroscopy (NIRS) has become a
widely used analytical technique in many industries. It offers, moreover, a number of other …

Melamine and its derivative, cyanuric acid, are occasionally added to pet meals because of
their nitrogen-rich qualities, leading to the development of several health-related issues. A …

Recently, just-in-time (JIT) modeling, such as locally weighted partial least squares (LW-
PLS), has attracted much attention because it can cope with changes in process …

Many research works on soft-sensors have been conducted. Although it is common practice
to evaluate the estimation performance of soft-sensors by using industrial process data, few …

The aim of this study was to compare the performance of FT-NIR spectroscopy and near-
infrared hyperspectral imaging (NIR-HSI) in predicting the C org and N t contents in mine …

This study evaluated hyperspectral imaging (900–1700 nm) and the optimal binning strategy
for the reduction of spatial data to obtain quantitative maps of some quality attributes in intact …

Random forest (RF) and neural network have received significant interest for statistical data
analysis as a result of their good predictive performance and attractive analytical properties …

Rubber sheets are one of the primary products of natural rubber and are the main raw
material in various rubber industries. The quality of a rubber sheet can be visually examined …

The ability to measure and monitor wildlife populations is important for species management
and conservation. The use of near-infrared spectroscopy (NIRS) to rapidly detect …

Immature durian poses a crucial problem for durian export. A miniature near-infrared
spectrometer was used to develop a prediction model based on fruit stem and rind spectra …