| dc.contributor.author | Thota, Mamatha | |
| dc.contributor.author | Kollias, Stefanos | |
| dc.contributor.author | Swainson, Mark | |
| dc.contributor.author | Leontidis, Georgios | |
| dc.date.accessioned | 2022-08-15T23:05:47Z | |
| dc.date.available | 2022-08-15T23:05:47Z | |
| dc.date.issued | 2020-12 | |
| dc.identifier.citation | Thota , M , Kollias , S , Swainson , M & Leontidis , G 2020 , ' Multi-source domain adaptation for quality control in retail food packaging ' , Computers in Industry , vol. 123 , 103293 . https://doi.org/10.1016/j.compind.2020.103293 | en |
| dc.identifier.issn | 0166-3615 | |
| dc.identifier.other | PURE: 173616611 | |
| dc.identifier.other | PURE UUID: 4a5a3e51-f5aa-403c-bcf3-da2a4700f7be | |
| dc.identifier.other | ORCID: /0000-0001-6671-5568/work/79063282 | |
| dc.identifier.other | Scopus: 85089382060 | |
| dc.identifier.uri | https://hdl.handle.net/2164/19065 | |
| dc.format.extent | 8 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Computers in Industry | en |
| dc.rights | © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| dc.subject | SDG 2 - Zero Hunger | en |
| dc.subject | SDG 3 - Good Health and Well-being | en |
| dc.subject | Deep Learning | en |
| dc.subject | Convolutional Neural Network | en |
| dc.subject | Mutli-source domain adaptation | en |
| dc.subject | Optical Character Verification | en |
| dc.subject | Retail food packaging | en |
| dc.subject | Deep learning | en |
| dc.subject | Multi-source domain adaptation | en |
| dc.subject | Optical character verification | en |
| dc.subject | Convolutional neural networks | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | Engineering(all) | en |
| dc.subject | Computer Science(all) | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Multi-source domain adaptation for quality control in retail food packaging | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Centre for Energy Transition | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Postprint | en |
| dc.identifier.doi | https://doi.org/10.1016/j.compind.2020.103293 | |
| dc.date.embargoedUntil | 2022-08-16 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85089382060&partnerID=8YFLogxK | en |
| dc.identifier.vol | 123 | en |
