• An Optimization Framework for Tracking Droplets in Fire Water Spray Images 

      Lundberg, Joachim; Lysaker, Ola Marius (Conference object; Peer reviewed, 2015-11-25)
      The properties of the flow from fire water nozzles, like droplet size and velocity distribution within the spray, are known to influence the fire suppression efficiency. To analyze the flow properties, the water spray is ...
    • Deep learning applied to automatic polyp detection in colonoscopy images 

      Liu, Qinghui (Master thesis, 2017)
      Deep learning is an improvement to the neural network that contains more computational layers that allow for higher levels of abstraction and prediction in the data. So far, it is becoming a leading machine learning tool ...
    • Evaluation of resolution enhancement in shifted superimposed projection displays: Simulations and experiments 

      Hansen, Svein Arne Jervell (Doctoral dissertations at the University of South-Eastern Norway;60, Doctoral thesis, 2020)
      Spatial resolution is one of the key performance parameters of a projected display, and the projector industry continuously aims to increase it. Projector resolution is traditionally based on the resolution of the spatial ...
    • Image-based sizing techniques for fire water droplets 

      Lundberg, Joachim (Doctoral dissertations at TUC;2015:5, Doctoral thesis; Peer reviewed, 2015-11-12)
      The Norwegian petroleum industry has developed a standard for the technical safety of offshore installations (NORSOK S-001, 2008). When dimensioning accidental load with this standard, the deluge or fire water spray may ...