Domain Adaptation and Federated Learning for Ultrasonic Monitoring of Beer Fermentation

Bowler, A.L. orcid.org/0000-0003-3209-2774, Pound, M.P. and Watson, N.J. orcid.org/0000-0001-5216-4873 (2021) Domain Adaptation and Federated Learning for Ultrasonic Monitoring of Beer Fermentation. Fermentation, 7 (4). 253. ISSN 2311-5637

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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: ultrasonic measurements; fermentation; machine learning; federated learning; domain adaptation; long short-term memory
Dates:
  • Published: December 2021
  • Published (online): 1 November 2021
  • Accepted: 29 October 2021
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: 12 Jul 2024 09:11
Last Modified: 12 Jul 2024 09:11
Status: Published
Publisher: MDPI
Identification Number: 10.3390/fermentation7040253
Open Archives Initiative ID (OAI ID):

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