Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression

Simeone, A., Woolley, E., Escrig, J. et al. (1 more author) (2020) Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression. Sensors, 20 (13). 3642. ISSN 1424-8220

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Item Type: Article
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© 2020 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: ultrasonic sensors; optical sensors; machine learning; regression; artificial neural networks; Clean-in-Place; digital manufacturing; industry 4.0; process optimisation
Dates:
  • Published: 1 July 2020
  • Published (online): 29 June 2020
  • Accepted: 16 June 2020
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)
Depositing User: Symplectic Publications
Date Deposited: 12 Jul 2024 09:38
Last Modified: 12 Jul 2024 09:38
Status: Published
Publisher: MDPI
Identification Number: 10.3390/s20133642
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Sustainable Development Goals:
  • Sustainable Development Goals: Goal 2: Zero Hunger
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