Predicting Alcohol Concentration during Beer Fermentation Using Ultrasonic Measurements and Machine Learning

Bowler, A. orcid.org/0000-0003-3209-2774, Escrig, J., Pound, M. et al. (1 more author) (2021) Predicting Alcohol Concentration during Beer Fermentation Using Ultrasonic Measurements and Machine Learning. Fermentation, 7 (1). 34. ISSN 2311-5637

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Item Type: Article
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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 (http://creativecommons.org/licenses/by/4.0/).

Keywords: machine learning; ultrasonic measurements; long short-term memory; industrial digital technologies
Dates:
  • Published: March 2021
  • Published (online): 4 March 2021
  • Accepted: 2 March 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 09:24
Last Modified: 12 Jul 2024 09:24
Status: Published
Publisher: MDPI
Identification Number: 10.3390/fermentation7010034
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
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