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On the Use of Air Quality Microsensors for Supporting Decision Makers

Bach, Kerstin; Akselsen, Sigmund; Veiga, Tiago Santos; Kalamaras, Ilias
Chapter
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URI
https://hdl.handle.net/11250/2823184
Date
2020
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  • Institutt for datateknologi og informatikk [5026]
  • Publikasjoner fra CRIStin - NTNU [26751]
Original version
10.1145/3423423.3423463
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.
Publisher
ACM
Copyright
© 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

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