• Adaptive Systems for Internet-Delivered Psychological Treatments 

      Mukhiya, Suresh Kumar; Wake, Jo Dugstad; Inal, Yavuz; Lamo, Yngve (Peer reviewed; Journal article, 2020)
      Internet-Delivered Psychological Treatments (IDPT) are based on evidence-based psychological treatment models adjusted for interaction through the Internet. The use of Internet technologies has the potential to increase ...
    • Advancing Deep Learning to Improve Upstream Petroleum Monitoring 

      Heghedus, Cristina Viorica; Shchipanov, Anton; Chunming, Rong (Peer reviewed; Journal article, 2019)
      Data analytics is rapidly growing field in both academia and industry dealing with processing and interpreting large and complex data sets. It has got already many successful applications via advancing machine (ML) and ...
    • Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning 

      Eikeland, Odin Foldvik; Holmstrand, Inga Setså; Bakkejord, Sigurd; Chiesa, Matteo; Bianchi, Filippo Maria (Journal article; Peer reviewed, 2021)
      Unscheduled power disturbances cause severe consequences both for customers and grid operators. To defend against such events, it is necessary to identify the causes of interruptions in the power distribution network. In ...
    • Health Indicator for Low-speed Axial Bearings using Variational Autoencoders 

      Hemmer, Martin; Klausen, Andreas; Huynh, Khang; Robbersmyr, Kjell Gunnar; Waag, Tor Inge (Peer reviewed; Journal article, 2020)
      This paper proposes a method for calculating a health indicator (HI) for low-speed axial rolling element bearing (REB) health assessment by utilizing the latent representation obtained by variational inference using ...