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

dc.contributor.author	De Schepper, Tom
dc.contributor.author	Camelo, Miguel
dc.contributor.author	Famaey, Jeroen
dc.contributor.author	Latre, Steven
dc.contributor.imecauthor	De Schepper, Tom
dc.contributor.imecauthor	Famaey, Jeroen
dc.contributor.imecauthor	Latre, Steven
dc.contributor.orcidimec	De Schepper, Tom::0000-0002-2969-3133
dc.date.accessioned	2021-10-28T21:07:36Z
dc.date.available	2021-10-28T21:07:36Z
dc.date.embargo	9999-12-31
dc.date.issued	2020
dc.identifier.doi	10.1002/nem.2100
dc.identifier.issn	1099-1190
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/35003
dc.source.beginpage	e2100
dc.source.issue	4
dc.source.journal	International Journal of Network Management
dc.source.volume	30
dc.title	Traffic classification at the spectrum level using deep learning models trained with synthetic data
dc.type	Journal article
dspace.entity.type	Publication
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