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dc.contributor.authorKan, Duygu
dc.contributor.authorSpina, Domenico
dc.contributor.authorDe Ridder, Simon
dc.contributor.authorGrassi, F.
dc.contributor.authorRogier, Hendrik
dc.contributor.authorVande Ginste, Dries
dc.date.accessioned2021-10-27T11:06:39Z
dc.date.available2021-10-27T11:06:39Z
dc.date.issued2019-11
dc.identifier.issn1536-1225
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/33246
dc.sourceIIOimport
dc.titleA machine-learning-based epistemic modelling framework for textile antenna design
dc.typeJournal article
dc.contributor.imecauthorKan, Duygu
dc.contributor.imecauthorSpina, Domenico
dc.contributor.imecauthorDe Ridder, Simon
dc.contributor.imecauthorRogier, Hendrik
dc.contributor.imecauthorVande Ginste, Dries
dc.contributor.orcidimecKan, Duygu::0000-0001-8789-9087
dc.contributor.orcidimecSpina, Domenico::0000-0003-2379-5259
dc.contributor.orcidimecRogier, Hendrik::0000-0001-8139-2736
dc.contributor.orcidimecVande Ginste, Dries::0000-0002-0178-288X
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage2292
dc.source.endpage2296
dc.source.journalIEEE Antennas and Wireless Propagation Letters
dc.source.issue11
dc.source.volume18
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8788631
imec.availabilityPublished - open access


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