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Spatiotemporal air quality inference of low-cost sensor data; Application on a cycling monitoring network

dc.contributor.authorHofman, Jelle
dc.contributor.authorDo, Tien Huu
dc.contributor.authorQin, Xuening
dc.contributor.authorRodrigo, Esther
dc.contributor.authorNikolaou, Marta E.
dc.contributor.authorPhilips, Wilfried
dc.contributor.authorDeligiannis, Nikolaos
dc.contributor.authorPanzica La Manna, Valerio
dc.date.accessioned2021-10-31T08:56:03Z
dc.date.available2021-10-31T08:56:03Z
dc.date.issued2021
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/36788
dc.sourceIIOimport
dc.titleSpatiotemporal air quality inference of low-cost sensor data; Application on a cycling monitoring network
dc.typeProceedings paper
dc.contributor.imecauthorHofman, Jelle
dc.contributor.imecauthorQin, Xuening
dc.contributor.imecauthorRodrigo, Esther
dc.contributor.imecauthorPhilips, Wilfried
dc.contributor.imecauthorDeligiannis, Nikolaos
dc.contributor.imecauthorPanzica La Manna, Valerio
dc.contributor.orcidimecRodrigo, Esther::0000-0003-4129-3295
dc.contributor.orcidimecPhilips, Wilfried::0000-0003-4456-4353
dc.contributor.orcidimecDeligiannis, Nikolaos::0000-0001-9300-5860
dc.contributor.orcidimecPanzica La Manna, Valerio::0000-0002-3868-4861
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage1
dc.source.endpage9
dc.source.conferenceMachine Learning Advances Environmental Science (MAES) Workshop
dc.source.conferencedate10/01/2021
dc.source.conferencelocationMilaan Itali�
dc.identifier.urlhttp://hdl.handle.net/1854/LU-8691371
imec.availabilityPublished - open access


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