Ultrasonic measurements and machine learning methods to monitor industrial processes

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Ultrasonic measurements and machine learning methods to monitor industrial processes

The process manufacturing sector is increasingly using the collection and analysis of data to improve productivity, sustainability, and product quality. The endpoint of this transformation is processes that automatically adapt to demands in real-time. In-line and on-line sensors underpin this transi...

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Bibliographic Details
Main Author:	Bowler, Alexander
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2023
Subjects:	Ultrasonic sensors machine learning transfer learning domain adaptation neural networks long short-term memory
Online Access:	https://eprints.nottingham.ac.uk/76333/

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