• Adapt and Generalize Deep Learning Methods for Activity Recognition on Newborn Resuscitation Videos 

      Lapin, Håvard (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      Low- and middle-income countries have nearly 99 % of deaths of children under 28 days. Complications during childbirths, such as birth asphyxia, account for most of these deaths. To prevent this, strengthening the quality ...
    • Advanced Deep Learning for Whale detection in VHR Satellite Images 

      Rabbani, Rabbir Bin (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      With the use of very high resolution (VHR) satellite images we can locate whales. In this thesis, I have experimented with different advanced architectures in Deep Learning to detect whales in satellite images. I have also ...
    • Classifying Dinoflagellates in Palynological Slides Using Convolutional Neural Networks 

      Nesse, Aleksander Borge (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      The petroleum industry is still one of the largest contributors to the Norwegian economy. Experts estimates that of the total reserves on the Norwegian shelf only 52 percent have been discovered. During test drilling, core ...
    • Optimization of object detection in newborn resuscitation videos 

      Austnes, Simon (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-14)
      99% of deaths of children under 28 days of age takes place in low- and middle-income countries. Most of these deaths are due to complications during childbirth. Newborn resuscitation heavily revolves around ventilation, ...
    • Picking Products from Distribution Containers by Object Detection and Occlusion Estimation 

      Ytterstad, Sigurd (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-28)
      There is a significant increase in e-commerce, and groceries are entering the online platform. With this development, and with customers wanting to change their shopping habits from brick-and-mortar stores to the online ...
    • Visualization of large data set on Small screens 

      Ali, Hammad (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      Representing large, valuable information in a comprehensible manner has been a key challenge of 21st century. Human cognition relies mainly on their visual system. However, visual analysis includes both, visual complexities, ...