Domain Adaptation for In-Line Allergen Classification of Agri-Food Powders Using Near-Infrared Spectroscopy

Bowler, A.L. orcid.org/0000-0003-3209-2774, Ozturk, S., Rady, A. et al. (1 more author) (2022) Domain Adaptation for In-Line Allergen Classification of Agri-Food Powders Using Near-Infrared Spectroscopy. Sensors, 22 (19). 7239. ISSN 1424-8220

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Item Type: Article
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© 2022 by the authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: near-infrared spectroscopy; domain adaptation; transfer learning; machine learning; process monitoring; food and drink
Dates:
  • Published: 24 September 2022
  • Accepted: 16 September 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Nutrition and Public Health (Leeds)
The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Colloids and Food Processing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Jul 2024 16:01
Last Modified: 11 Jul 2024 16:01
Status: Published
Publisher: MDPI
Identification Number: 10.3390/s22197239
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