• 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 ...
    • Automated collection of multi-source spatial information for emergency management 

      Sandra, Moen (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-22)
      Yearly influenza epidemics carries a tremendous societal cost and leads to a large loss of life and an immense strain on the national health care systems. People that become sick are less productive and the overall well-being ...
    • Data center high availability for integrated machine control platforms 

      Hole, Anders (Masteroppgave/UIS-TN-IDE/2014;, Master thesis, 2014-06-12)
      National Oilwell Varco is a multinational company providing solutions to the oil industry. The main focus in Stavanger office is the Cyberbase chair and control system. This chair is a operators interface with machinery ...
    • Detecting Fake News and Rumors in Twitter Using Deep Neural Networks 

      Mjaaland, Henrik (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The scope of this thesis is to detect fake news by classifying them as either real or fake based on article content, metadata, tweets and retweets of news articles from the Politifact dataset using graph neural networks. Fake ...
    • Strict ordering guarantees for event-source systems 

      Tvedt, Ferdinand (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019)
      The digital world is constantly developing globally, more people are connecting to the internet every day and companies that used to be national businesses are developing into international businesses. The constant stream ...
    • Text Pattern Discovery and Extraction 

      Morten, Waersland (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
      This thesis presents a technique for discovering and extracting unknown patterns for structured data. There is no need for pre-knowledge to be able to discover patterns. But by applying pre-knowledge these patterns can be ...