• From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development 

      Veiga, Tiago Santos; Munch-Ellingsen, Arne; Papastergiopoulos, Christoforos; Tzovaras, Dimitrios; Kalamaras, Ilias; Bach, Kerstin; Votis, Konstantinos; Akselsen, Sigmund (Peer reviewed; Journal article, 2021)
      Air pollution is a widespread problem due to its impact on both humans and the environment. Providing decision makers with artificial intelligence based solutions requires to monitor the ambient air quality accurately and ...
    • On the Use of Air Quality Microsensors for Supporting Decision Makers 

      Bach, Kerstin; Akselsen, Sigmund; Veiga, Tiago Santos; Kalamaras, Ilias (Chapter, 2020)
      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 ...
    • Visual analytics for exploring air quality data in an AI-enhanced IoT environment 

      Kalamaras, Ilias; Xygonakis, Ioannis; Glykos, Konstantinos; Akselsen, Sigmund; Munch-Ellingsen, Arne; Nguyen, Hai Thanh; Jacobsen Lepperod, Andreas; Bach, Kerstin; Votis, Konstantinos; Tzovaras, Dimitrios (Chapter, 2019)
      Visual analytics have an important role in the exploration and analysis of large amounts of data in IoT applications. Data visualizations can provide overviews of different aspects of data and user interaction can assist ...