[HTML][HTML] Are standard sample measurements still needed to transfer multivariate calibration models between near-infrared spectrometers? The answer is not always
Calibration transfer (CT) refers to the set of chemometric techniques used to transfer (near-
infrared) calibration models between spectrometers. The requirement of traditional CT …
infrared) calibration models between spectrometers. The requirement of traditional CT …
Calibration update and drift correction for electronic noses and tongues
A Rudnitskaya - Frontiers in chemistry, 2018 - frontiersin.org
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 …
analysis—electronic noses and tongues, is the limited temporal validity of the multivariate …
Long-term evaluation of soluble solids content of apples with biological variability by using near-infrared spectroscopy and calibration transfer method
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 …
content (SSC) prediction has been investigated using apples with biological variability …
Chemometric methods in analytical spectroscopy technology
Y Huang - Chemometric Methods in Analytical Spectroscopy …, 2022 - Springer
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 …
cloud computing, new chemometric methods have sprung up and become one of the fastest …
A chemometrician's guide to transfer learning
R Nikzad‐Langerodi, E Andries - Journal of Chemometrics, 2021 - Wiley Online Library
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 …
different domains, has gained increasing attention over the past decade. With the current …
A deep learning approach to improving spectral analysis of fruit quality under interseason variation
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 …
fruit quality control. Existing methods have limitations that usually need sufficient samples for …
Improved principal component analysis (IPCA): a novel method for quantitative calibration transfer between different near-infrared spectrometers
H Zhang, H Tan, B Lin, X Yang, Z Sun, L Zhong, L Gao… - Molecules, 2023 - mdpi.com
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 …
considerable topic in the study of near-infrared (NIR) spectroscopy. Recently, many new …
Linear model correction: A method for transferring a near-infrared multivariate calibration model without standard samples
Y Liu, W Cai, X Shao - Spectrochimica Acta Part A: Molecular and …, 2016 - Elsevier
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 …
because the measurements of the spectra may be performed on different instruments and …
Standardization of near infrared spectra measured on multi-instrument
Y Liu, W Cai, X Shao - Analytica chimica acta, 2014 - Elsevier
Calibration model transfer is essential for practical applications of near infrared (NIR)
spectroscopy because the measurements of the spectra may be performed on different …
spectroscopy because the measurements of the spectra may be performed on different …
Overview of two‐norm (L2) and one‐norm (L1) Tikhonov regularization variants for full wavelength or sparse spectral multivariate calibration models or maintenance
JH Kalivas - Journal of Chemometrics, 2012 - Wiley Online Library
Building a multivariate calibration model is typically accomplished using partial least
squares, principal component regression, or ridge regression, also derived as the standard …
squares, principal component regression, or ridge regression, also derived as the standard …