Blar i Institutt for teknisk kybernetikk på tidsskrift "Discover Artificial Intelligence"

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    • Context-based and image-based subsea pipeline degradation monitoring 

      Spahic, Rialda; Lundteigen, Mary Ann; Hepsø, Vidar (Journal article; Peer reviewed, 2023)
      This research examines the factors contributing to the exterior material degradation of subsea oil and gas pipelines monitored with autonomous underwater systems (AUS). The AUS have a role of gathering image data that is ...

    • Image-based and risk-informed detection of Subsea Pipeline damage 

      Spahic, Rialda; Poolla, Kameshwar; Hepsø, Vidar; Lundteigen, Mary Ann (Peer reviewed; Journal article, 2023)
      As one of the most important assets in the transportation of oil and gas products, subsea pipelines are susceptible to various environmental hazards, such as mechanical damage and corrosion, that can compromise their ...