dc.contributor.author | Bach, Kerstin | |
dc.contributor.author | Akselsen, Sigmund | |
dc.contributor.author | Veiga, Tiago Santos | |
dc.contributor.author | Kalamaras, Ilias | |
dc.date.accessioned | 2021-10-15T07:22:33Z | |
dc.date.available | 2021-10-15T07:22:33Z | |
dc.date.created | 2020-11-20T14:04:27Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-1-4503-8820-7 | |
dc.identifier.uri | https://hdl.handle.net/11250/2823184 | |
dc.description.abstract | In this poster we present how a network of Internet-of-things (IoT) devices facilitated through machine learning can improve decision making. Our application domain is air quality in the municipality of Trondheim. Ambient air pollution poses a major threat to both health and climate with millions of premature deaths occurring every year. To enable solutions to this problem, accurate measurements of the phenomenon are required and tools for decision makers need to be in place to quickly understand situations as well as suggest actions that lead to the best possible outcome. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | ACM | en_US |
dc.relation.ispartof | IoT '20 Companion: 10th International Conference on the Internet of Things Companion | |
dc.relation.uri | https://dl.acm.org/doi/pdf/10.1145/3423423.3423463 | |
dc.title | On the Use of Air Quality Microsensors for Supporting Decision Makers | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published here, http://dx.doi.org/https://doi.org/10.1145/3423423.3423463 | en_US |
dc.identifier.doi | 10.1145/3423423.3423463 | |
dc.identifier.cristin | 1850442 | |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.qualitycode | 1 | |