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Anomaly detection for Smart City applications over 5G low power wide area networks

dc.contributor.authorSantos, J.
dc.contributor.authorLeroux, Philip
dc.contributor.authorWauters, Tim
dc.contributor.authorVolckaert, Bruno
dc.contributor.authorDe Turck, Filip
dc.date.accessioned2021-10-26T03:17:43Z
dc.date.available2021-10-26T03:17:43Z
dc.date.issued2018-04
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/31727
dc.sourceIIOimport
dc.titleAnomaly detection for Smart City applications over 5G low power wide area networks
dc.typeProceedings paper
dc.contributor.imecauthorLeroux, Philip
dc.contributor.imecauthorWauters, Tim
dc.contributor.imecauthorVolckaert, Bruno
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.orcidimecWauters, Tim::0000-0003-2618-3311
dc.contributor.orcidimecVolckaert, Bruno::0000-0003-0575-5894
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage1
dc.source.endpage9
dc.source.conferenceIEEE/IFIP Network Operations and Management Symposium - NOMS
dc.source.conferencedate23/04/2018
dc.source.conferencelocationTaipei Taiwan
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=8406257
imec.availabilityPublished - open access
imec.internalnotesISBN 978-1-5386-3416-5


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