Publication:
Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network
| dc.contributor.author | Qin, Xuening | |
| dc.contributor.author | Huu, Tien Do | |
| dc.contributor.author | Hofman, Jelle | |
| dc.contributor.author | Rodrigo, Esther | |
| dc.contributor.author | Panzica La Manna, Valerio | |
| dc.contributor.author | Deligiannis, Nikolaos | |
| dc.contributor.author | Philips, Wilfried | |
| dc.contributor.imecauthor | Qin, Xuening | |
| dc.contributor.imecauthor | Huu, Tien Do | |
| dc.contributor.imecauthor | Hofman, Jelle | |
| dc.contributor.imecauthor | Rodrigo, Esther | |
| dc.contributor.imecauthor | Panzica La Manna, Valerio | |
| dc.contributor.imecauthor | Deligiannis, Nikolaos | |
| dc.contributor.imecauthor | Philips, Wilfried | |
| dc.contributor.orcidimec | Panzica La Manna, Valerio::0000-0002-3868-4861 | |
| dc.contributor.orcidimec | Deligiannis, Nikolaos::0000-0001-9300-5860 | |
| dc.contributor.orcidimec | Philips, Wilfried::0000-0003-4456-4353 | |
| dc.contributor.orcidimec | Rodrigo, Esther::0000-0003-4129-3295 | |
| dc.date.accessioned | 2022-05-04T09:48:57Z | |
| dc.date.available | 2022-04-21T02:10:25Z | |
| dc.date.available | 2022-05-04T09:48:57Z | |
| dc.date.issued | 2021 | |
| dc.identifier.doi | 10.1145/3461353.3461370 | |
| dc.identifier.eisbn | 978-1-4503-8863-4 | |
| dc.identifier.issn | na | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/39645 | |
| dc.publisher | ASSOC COMPUTING MACHINERY | |
| dc.source.beginpage | 221 | |
| dc.source.conference | 5th International Conference on Innovation in Artificial Intelligence (ICIAI) | |
| dc.source.conferencedate | MAR 05-08, 2021 | |
| dc.source.conferencelocation | Virtual | |
| dc.source.endpage | 227 | |
| dc.source.journal | na | |
| dc.source.numberofpages | 7 | |
| dc.subject.keywords | ULTRAFINE PARTICLES | |
| dc.subject.keywords | SPATIAL VARIATION | |
| dc.subject.keywords | BLACK CARBON | |
| dc.subject.keywords | POLLUTION | |
| dc.subject.keywords | EXPOSURE | |
| dc.subject.keywords | CHINA | |
| dc.subject.keywords | MODEL | |
| dc.title | Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network | |
| dc.type | Proceedings paper | |
| dspace.entity.type | Publication | |
| Files | ||
| Publication available in collections: |