dc.contributor.author | Do, Tien Huu | |
dc.contributor.author | Tsiligianni, Evaggelia | |
dc.contributor.author | Qin, Xuening | |
dc.contributor.author | Hofman, Jelle | |
dc.contributor.author | Panzica La Manna, Valerio | |
dc.contributor.author | Philips, Wilfried | |
dc.contributor.author | Deligiannis, Nikolaos | |
dc.date.accessioned | 2021-10-28T21:23:45Z | |
dc.date.available | 2021-10-28T21:23:45Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 2327-4662 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/35065 | |
dc.source | IIOimport | |
dc.title | Graph-deep-learning-based inference of fine-grained air quality from mobile IoT sensors | |
dc.type | Journal article | |
dc.contributor.imecauthor | Qin, Xuening | |
dc.contributor.imecauthor | Hofman, Jelle | |
dc.contributor.imecauthor | Panzica La Manna, Valerio | |
dc.contributor.imecauthor | Philips, Wilfried | |
dc.contributor.imecauthor | Deligiannis, Nikolaos | |
dc.contributor.orcidimec | Panzica La Manna, Valerio::0000-0002-3868-4861 | |
dc.contributor.orcidimec | Philips, Wilfried::0000-0003-4456-4353 | |
dc.contributor.orcidimec | Deligiannis, Nikolaos::0000-0001-9300-5860 | |
dc.date.embargo | 9999-12-31 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 8943 | |
dc.source.endpage | 8955 | |
dc.source.journal | IEEE Internet of Things Journal | |
dc.source.issue | 9 | |
dc.source.volume | 7 | |
dc.identifier.url | https://ieeexplore.ieee.org/document/9106368 http://hdl.handle.net/1854/LU-8676438 | |
imec.availability | Published - open access | |