Publication:

Machine learning for the estimation of WiFi field exposure in complex indoor multi-source scenario

Date

2021-08-28
Proceedings Paper
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dc.contributor.authorTognola, Gabriella
dc.contributor.authorPlets, David
dc.contributor.authorChiaramello, Emma
dc.contributor.authorGallucci, Silvia
dc.contributor.authorBonato, Marta
dc.contributor.authorFiocchi, Serena
dc.contributor.authorParazzini, Marta
dc.contributor.authorMartens, Luc
dc.contributor.authorJoseph, Wout
dc.contributor.authorRavazzani, Paolo
dc.contributor.imecauthorPlets, David
dc.contributor.imecauthorMartens, Luc
dc.contributor.imecauthorJoseph, Wout
dc.contributor.orcidimecPlets, David::0000-0002-8879-5076
dc.contributor.orcidimecMartens, Luc::0000-0001-9948-9157
dc.contributor.orcidimecJoseph, Wout::0000-0002-8807-0673
dc.date.accessioned2022-03-22T12:37:10Z
dc.date.available2022-02-03T13:23:36Z
dc.date.available2022-03-22T12:37:10Z
dc.date.embargo9999-12-31
dc.date.issued2021-08-28
dc.identifier.isbn978-9-4639-6-8027
dc.identifier.issn2642-4339
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/38815
dc.source.conferenceXXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS 2021)
dc.source.conferencedate28 August - 4 September 2021
dc.source.conferencelocationRome, Italy
dc.source.journalConference paper
dc.source.numberofpages5
dc.subject.disciplineEngineering
dc.title

Machine learning for the estimation of WiFi field exposure in complex indoor multi-source scenario

dc.typeProceedings paper
dspace.entity.typePublication
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