Bayesian and ultrasonic sensor aided multi-objective optimisation for sustainable clean-in-place processes

Bowler, A.L. orcid.org/0000-0003-3209-2774, Rodgers, S., Cook, D.J. et al. (1 more author) (2023) Bayesian and ultrasonic sensor aided multi-objective optimisation for sustainable clean-in-place processes. Food and Bioproducts Processing, 141. pp. 23-35. ISSN 0960-3085

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Item Type: Article
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© 2023 Crown Copyright. Published by Elsevier Ltd on behalf of Institution of Chemical Engineers. 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: Clean in place; Energy use; Bayesian optimisation; Multi-objective optimisation; Ultrasonic sensors; Neural networks
Dates:
  • Published: September 2023
  • Published (online): 1 July 2023
  • Accepted: 30 June 2023
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: 10 Jul 2024 16:20
Last Modified: 10 Jul 2024 16:20
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.fbp.2023.06.010
Open Archives Initiative ID (OAI ID):

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