Calibration transfer (CT) refers to the set of chemometric techniques used to transfer (near-
infrared) calibration models between spectrometers. The requirement of traditional CT …

One of the obstacles to the wider practical use of the multisensor systems for gas and liquid
analysis—electronic noses and tongues, is the limited temporal validity of the multivariate …

The long-term performance of a near-infrared (NIR) calibration model for soluble solids
content (SSC) prediction has been investigated using apples with biological variability …

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 …

Transfer learning (TL), the sub‐discipline of machine learning devoted to learning from
different domains, has gained increasing attention over the past decade. With the current …

Abstract Model updating for developed calibrations is critical for robust spectral analysis in
fruit quality control. Existing methods have limitations that usually need sufficient samples for …

Given the labor-consuming nature of model establishment, model transfer has become a
considerable topic in the study of near-infrared (NIR) spectroscopy. Recently, many new …

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 …

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

Building a multivariate calibration model is typically accomplished using partial least
squares, principal component regression, or ridge regression, also derived as the standard …