Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss
Author:
Affiliation:
1. School of Automation, Central South University, Changsha 410083, China
Funder
Central South University
National Natural Science Foundation of China
Publisher
American Chemical Society (ACS)
Subject
Analytical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.3c01132
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1. Identification of informative spectral ranges for predicting major chemical constituents in corn using NIR spectroscopy
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