• Bridging the Gap Between Java and Python in Mobile Software Development to Enable MLOps 

      Dautov, Rustem; Husom, Erik Johannes; Gonidis, Fotis; Papatzelos, Spyridon; Malamas, Nikolaos (Chapter; Peer reviewed, 2022)
      The role of Machine Learning (ML) engineers in mobile development has become increasingly important in recent years, as more and more business-critical mobile applications depend on AI components. Many development teams ...
    • Machine Learning for Fatigue Detection using Fitbit Fitness Trackers 

      Husom, Erik Johannes; Dautov, Rustem; Nedisan Videsjorden, Adela; Gonidis, Fotis; Papatzelos, Spyridon; Malamas, Nikolaos (Chapter, 2022)
      Fatigue can be a pre-cursor to many illnesses and injuries, and cause fatal work-related incidents. Fatigue detection has been traditionally performed in lab conditions with stationary medical-grade diagnostics equipment ...
    • Towards MLOps in Mobile Development with a Plug-in Architecture for Data Analytics 

      Dautov, Rustem; Husom, Erik Johannes; Gonidis, Fotis (Chapter, 2022)
      Smartphones are increasingly used as universal IoT gateways collecting data from connected sensors in a wide range of industrial applications. With the increasing computing capabilities, they are used not just for simple ...