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dc.contributorAngulo Bahón, Cecilio
dc.contributorMartín Rull, Enric Xavier
dc.contributorFrigola Bourlon, Manel
dc.contributor.authorNadar, Maher
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2017-10-31T18:15:05Z
dc.date.issued2017-09-13
dc.identifier.urihttp://hdl.handle.net/2117/109553
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshSewerage -- Maintenance
dc.subject.lcshNeural networks (Computer science)
dc.titleCNN Benchmark in sewage pipe defects classification
dc.typeMaster thesis
dc.subject.lemacClavegueram -- Manteniment
dc.subject.lemacXarxes neuronals (Informàtica)
dc.identifier.slugETSEIB-240.129107
dc.rights.accessRestricted access - confidentiality agreement
dc.date.lift10000-01-01
dc.date.updated2017-10-10T05:33:15Z
dc.audience.educationlevelMàster
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria Industrial de Barcelona


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