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

In recent decades, with the rapid development of artificial intelligence, data mining, and
cloud computing, new chemometric methods have sprung up and become one of the fastest …

Measurement environmental changes and spectral signal differences among multi-
spectrometers may lead to big error in the process of transferring the model of near infrared …

A new variable selection method called double competitive adaptive reweighted sampling
(Double CARS) was proposed for calibration transfer of near infrared spectra. In Double …

Basing on the wavelengths with consistent and stable spectral signals between
spectrometers, wavelength combinations were screened by different methods to obtain …

Calibration transfer is essential for practical applications of near infrared (NIR) spectroscopy
because the measurements of the spectra may be performed on different instruments and …

In order to reduce the time and cost for near infrared (NIR) model development and
maintenance, the transfer of NIR spectra measured on four different portable spectrometers …

Calibration model transfer has played a prominent role in the practical application of NIR
spectral analysis. The change of instruments and sample physical states may lead to …

Near infrared spectroscopy (NIRS) is a secondary analytical method that could use machine
learning to predict components of interest for various applications. Calibration transfer (CT) …

Calibration transfer is crucial for near-infrared spectroscopy (NIR) to avoid time-consuming
and labor-intensive recalibration. Classical methods require standard samples from both the …