On the Use of Air Quality Microsensors for Supporting Decision Makers
Chapter
Accepted version

Åpne
Permanent lenke
https://hdl.handle.net/11250/2823184Utgivelsesdato
2020Metadata
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Originalversjon
10.1145/3423423.3423463Sammendrag
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.