Domain Adaptation and Federated Learning for Ultrasonic Monitoring of Beer Fermentation

Domain Adaptation and Federated Learning for Ultrasonic Monitoring of Beer Fermentation

Beer fermentation processes are traditionally monitored through sampling and off-line wort density measurements. In-line and on-line sensors would provide real-time data on the fermentation progress whilst minimising human involvement, enabling identification of lagging fermentations or prediction o...

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Bibliographic Details
Main Authors:	Alexander L. Bowler, Michael P. Pound, Nicholas J. Watson
Format:	Article
Language:	English
Published:	MDPI AG 2021-11-01
Series:	Fermentation
Subjects:	ultrasonic measurements fermentation machine learning federated learning domain adaptation long short-term memory
Online Access:	https://www.mdpi.com/2311-5637/7/4/253

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