dc.contributor.author | Kan, Duygu | |
dc.contributor.author | De Ridder, Simon | |
dc.contributor.author | Spina, Domenico | |
dc.contributor.author | Couckuyt, Ivo | |
dc.contributor.author | Grassi, F. | |
dc.contributor.author | Dhaene, Tom | |
dc.contributor.author | Rogier, Hendrik | |
dc.contributor.author | Vande Ginste, Dries | |
dc.date.accessioned | 2021-10-28T23:06:07Z | |
dc.date.available | 2021-10-28T23:06:07Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/35355 | |
dc.source | IIOimport | |
dc.title | Machine learning-based hybrid random-fuzzy modeling framework for antenna design | |
dc.type | Proceedings paper | |
dc.contributor.imecauthor | Kan, Duygu | |
dc.contributor.imecauthor | De Ridder, Simon | |
dc.contributor.imecauthor | Spina, Domenico | |
dc.contributor.imecauthor | Couckuyt, Ivo | |
dc.contributor.imecauthor | Dhaene, Tom | |
dc.contributor.imecauthor | Rogier, Hendrik | |
dc.contributor.imecauthor | Vande Ginste, Dries | |
dc.contributor.orcidimec | Kan, Duygu::0000-0001-8789-9087 | |
dc.contributor.orcidimec | Spina, Domenico::0000-0003-2379-5259 | |
dc.contributor.orcidimec | Couckuyt, Ivo::0000-0002-9524-4205 | |
dc.contributor.orcidimec | Dhaene, Tom::0000-0003-2899-4636 | |
dc.contributor.orcidimec | Rogier, Hendrik::0000-0001-8139-2736 | |
dc.contributor.orcidimec | Vande Ginste, Dries::0000-0002-0178-288X | |
dc.date.embargo | 9999-12-31 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 1 | |
dc.source.endpage | 5 | |
dc.source.conference | EUCAP2020, the 14th European Conference on Antennas and Propagation | |
dc.source.conferencedate | 15/03/2020 | |
dc.source.conferencelocation | Copenhagen Denmark | |
imec.availability | Published - open access | |
imec.internalnotes | ISBN 978-88-31299-00-8 | |