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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sustersic, Tijana | - |
dc.contributor.author | Gribova, Varvara | - |
dc.contributor.author | Nikolic, Milica | - |
dc.contributor.author | Lavale, Philip | - |
dc.contributor.author | Vrana, Nihal Engin | - |
dc.date.accessioned | 2023-02-24T10:55:30Z | - |
dc.date.available | 2023-02-24T10:55:30Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/16837 | - |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.title | Machine learning based prediction of layer-by-layer coating thickness | en_US |
dc.type | conferenceObject | en_US |
dc.relation.conference | Joint KMM-VIN / ViCEM / ESB crossdisciplinary workshop on Biomedical and bioinspired materials and structures: a cross-disciplinary approach combining the 9th KMM-VIN Industrial Workshop Biennial ViCEM Meeting Austrian Chapter Meeting of ESB | en_US |
Appears in Collections: | Faculty of Engineering, Kragujevac |
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