Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23450
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dc.contributor.authorLiu, W-
dc.contributor.authorWang, Z-
dc.contributor.authorTian, L-
dc.contributor.authorLauria, S-
dc.contributor.authorLiu, X-
dc.date.accessioned2021-11-07T17:56:46Z-
dc.date.available2021-11-07T17:56:46Z-
dc.date.issued2021-05-05-
dc.identifier107183-
dc.identifier.citationLiu, W., Wang, Z., Tian, L., Lauria, S. and Liu, X. (2021) 'Melt pool segmentation for additive manufacturing: A generative adversarial network approach', Computers & Electrical Engineering, 92, 107183, pp. 1-11. doi: 10.1016/j.compeleceng.2021.107183.en_US
dc.identifier.issn0045-7906-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23450-
dc.description.sponsorshipEuropean Union’s Horizon 2020 Research and Innovation Programme under Grant 820776 (INTEGRADDE); National Natural Science Foundation of China (61903065); China Postdoctoral Science Foundation (2018M643441); Engineering and Physical Sciences Research Council (EPSRC) of the UK; Royal Society of the UK; Alexander von Humboldt Foundation of Germany.en_US
dc.format.extent1 - 11 (11)-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherElsevier BVen_US
dc.rights© 2021 Elsevier Ltd. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.compeleceng.2021.107183-
dc.subjectadditive manufacturingen_US
dc.subjectgenerative adversarial networken_US
dc.subjectdefect detectionImage processingen_US
dc.subjectimage segmentationen_US
dc.subjectthermal imageen_US
dc.titleMelt pool segmentation for additive manufacturing: A generative adversarial network approachen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.compeleceng.2021.107183-
dc.relation.isPartOfComputers and Electrical Engineering-
pubs.publication-statusPublished-
pubs.volume92-
dc.identifier.eissn1879-0755-
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