Industry 4.0: Why Machine Learning Matters?

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/22689

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DC Field	Value	Language
dc.contributor.author	Gan, TH	-
dc.contributor.author	Kanfoud, J	-
dc.contributor.author	Nedunuri, H	-
dc.contributor.author	Amini, A	-
dc.contributor.author	Feng, G	-
dc.date.accessioned	2021-05-15T16:51:36Z	-
dc.date.available	2021-01-01	-
dc.date.available	2021-05-15T16:51:36Z	-
dc.date.issued	2021-02-03	-
dc.identifier.citation	Gan T.H., Kanfoud J., Nedunuri H., Amini A. and Feng G. (2021) 'Industry 4.0: Why Machine Learning Matters?' in: Gelman L., Martin N., Malcolm, A.A., (Edmund) Liew C.K. (eds.) Advances in Condition Monitoring and Structural Health Monitoring: WCCM 2019. Lecture Notes in Mechanical Engineering. Springer, Singapore, pp 397-404. doi: 10.1007/978-981-15-9199-0_37.	en_US
dc.identifier.isbn	9789811591983	-
dc.identifier.issn	2195-4356	-
dc.identifier.uri	https://bura.brunel.ac.uk/handle/2438/22689	-
dc.format.extent	397 - 404	-
dc.format.medium	Print-Electronic	-
dc.language.iso	en_US	en_US
dc.publisher	Springer Nature Singapore	-
dc.subject	Industry 4.0	en_US
dc.subject	machine learning	en_US
dc.subject	digital twin	en_US
dc.subject	in-line inspection	en_US
dc.title	Industry 4.0: Why Machine Learning Matters?	en_US
dc.type	Conference Paper	en_US
dc.identifier.doi	https://doi.org/10.1007/978-981-15-9199-0_37	-
dc.relation.isPartOf	Lecture Notes in Mechanical Engineering	-
pubs.publication-status	Published	-
dc.identifier.eissn	2195-4364	-
Appears in Collections:	Dept of Mechanical and Aerospace Engineering Embargoed Research Papers

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