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A Configuration Approach for Convolutional Neural Networks Used for Defect Detection on Surfaces
| dc.contributor.author | García Martínez, Daniel Fernando | |
| dc.contributor.author | García, Iván | |
| dc.contributor.author | Calle Herrero, Francisco Javier de la | |
| dc.contributor.author | Usamentiaga Fernández, Rubén | |
| dc.date.accessioned | 2019-11-14T10:21:21Z | |
| dc.date.available | 2019-11-14T10:21:21Z | |
| dc.date.issued | 2018 | |
| dc.identifier.isbn | 9781538675007 | |
| dc.identifier.uri | http://hdl.handle.net/10651/52893 | |
| dc.description | International Conference on Mathematics and Computers in Sciences and Industry (MCSI) (5th. 2018. Corfú) | |
| dc.description.sponsorship | This work has been partially funded by the project TIN2014-56047-P of the Spanish National Plan for Research, Development and Innovation and the contract FUO-186-17 of the Foundation of the University of Oviedo. | |
| dc.format.extent | p. 44-51 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Proceedings - 2018 5th International Conference on Mathematics and Computers in Sciences and Industry, MCSI 2018 | |
| dc.rights | © 2019 IEEE | |
| dc.rights | CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85070370543&doi=10.1109%2fMCSI.2018.00019&partnerID=40&md5=405198df60e567d6d085d159474a1568 | |
| dc.title | A Configuration Approach for Convolutional Neural Networks Used for Defect Detection on Surfaces | |
| dc.type | conference output | spa |
| dc.identifier.doi | 10.1109/MCSI.2018.00019 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2014-56047-P/ES/DESARROLLO DE TECNICAS DE AUTO-ADAPTACION PARA SISTEMAS INFORMATICOS/ | |
| dc.relation.projectID | FUO-186-17 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1109/MCSI.2018.00019 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | AM |
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