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Traffic classification at the spectrum level using deep learning models trained with synthetic data

dc.contributor.authorDe Schepper, Tom
dc.contributor.authorCamelo, Miguel
dc.contributor.authorFamaey, Jeroen
dc.contributor.authorLatre, Steven
dc.date.accessioned2021-10-28T21:07:36Z
dc.date.available2021-10-28T21:07:36Z
dc.date.issued2020
dc.identifier.issn1099-1190
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/35003
dc.sourceIIOimport
dc.titleTraffic classification at the spectrum level using deep learning models trained with synthetic data
dc.typeJournal article
dc.contributor.imecauthorDe Schepper, Tom
dc.contributor.imecauthorFamaey, Jeroen
dc.contributor.imecauthorLatre, Steven
dc.contributor.orcidimecDe Schepper, Tom::0000-0002-2969-3133
dc.date.embargo9999-12-31
dc.identifier.doi10.1002/nem.2100
dc.source.peerreviewyes
dc.source.beginpagee2100
dc.source.journalInternational Journal of Network Management
dc.source.issue4
dc.source.volume30
imec.availabilityPublished - open access


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