• 5G Multi-Access Edge Computing: A Survey on Security, Dependability, and Performance 

      Nencioni, Gianfranco; Garroppo, Rosario G.; Olimid-Nencioni, Ruxandra-Florentina (Peer reviewed; Journal article, 2023)
      The Fifth Generation (5G) of mobile networks offers new and advanced services with stricter requirements. Multi-access Edge Computing (MEC) is a key technology that enables these new services by deploying multiple devices ...
    • Active Noise Control in the Offshore Industry 

      Mehus, Haakon (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-29)
      Hearing damage among offshore workers has been a problem for many years, and it remains one of the most common disorders in this group. A proposal to use active noise control to improve the noise conditions has thus been ...
    • 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 ...
    • Analyse og presentasjon av Mars rover data 

      Fjellheim, Markus (Masteroppgave/UIS-TN-IDE/2020;;, Master thesis, 2020-07-15)
      Space-crafts and their instruments tend to collect way more data on their missions than what can be transmitted back to earth in a timely manner. This leads to the need to prioritize what data is to be downloaded and what ...
    • ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation 

      Jekteberg, Øyvind; Gingstad, Kristian (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The purpose of this thesis is to explore different methods for recommending scientific literature to scientists and to explore different methods for doing topic extraction. We will update and use the already existing ...
    • Attitude and Heading Reference System for a laboratory drilling rig control system 

      Alsaker-Haugen, Joakim Andrè (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-13)
      This thesis describes the work done in contribution to the UiS Drillbotics 2020 drill rig design for the annual international Drillbotics competition. Drillbotic is a competition for universities to design and build a ...
    • 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 ...
    • Automated Well Monitoring: Machine Learning and Web Application 

      Zhurda, Anisa (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The challenge within the oil and gas industry is that of complexity and therefore cost, specifically due to the tough working environments and delays/downtime . Therefore, digitization is proposed as a cost saving opportunity ...
    • Bruk av nevrale nettverk for avansert deteksjon av objekter under vann. 

      Lunde, Gaute Dirdal (Masteroppgave/UIS-TN-IDE/2009;, Master thesis, 2009-06)
      SwimEye er et system for å øke sikkerheten mot drukningsulykker i basseng. Det er ønskelig å gjøre SwimEyes deteksjon enda bedre, og denne masteroppgaven kommer frem til en løsning på dette problemet ved bruk av et nevralt ...
    • Cerebral vessel segmentation in contrast CT images 

      Myklebust, Sigurd (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      Patients with cerebral stroke symptoms are typically examined using CT scanning due to its availability and efficiency. If the stroke is suspected to be ischemic, a contrast agent is injected to increase the contrast in ...
    • 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 ...
    • Comparative analysis of mathematical models describing glucose-insulin regulation in vivo 

      Knudsen, Ingeborg Siem (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013-05)
      In this thesis, mathematical models describing glucose-insulin regulation within the human body have been studied. Glucoregulatory models are valuable in diabetes related research. Monitoring glucose-insulin dynamics, testing ...
    • A Conversational Movie Recommender System 

      Habib, Javeria (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      The purpose of a Conversational Recommender System is to help the users achieve their recommendation specific goals using a multi-turn dialogue. In recent years, numerous studies are conducted on improving the quality ...
    • A Conversational Movie Recommender System 

      Habib, Javeria (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The purpose of a Conversational Recommender System is to help the users achieve their recommendation specific goals using a multi-turn dialogue. In recent years, numerous studies are conducted on improving the quality ...
    • Data and control tuning of a laboratory-scale autonomous drilling rig 

      Klæhaug, Ken Andre (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      The main focus of this thesis is to tune a lab scale autonomous drilling rig. The rig requires a robust control architecture that can manage unforeseen risks and problems, and at the same time optimize the systems performance ...
    • Deep Learning over 20 Years of Cinema Ticket Sales 

      Pettersen, Markus (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      For many years, movie theaters across Norway have been manually setting up its weekly movie schedule according to the prior knowledge of the operators. This is a slow and laborious method that in this day and age is outdated ...
    • Delayed Integrity Check for IEC 61850 Communication 

      Gudmestad, Racin (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      Electrical substations transform voltage from high to low, or low to high for transmission and distribution, and are a critical part of our infrastructure. The state of a substation is continuously measured for monitoring, ...
    • Dementia classification using deep learning and texture analysis methods on magnetic resonance images 

      Risanger, Rune (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      Dementia is becoming an increasingly severe economical and socio-economical disease, as treatment is problematic, with different disease variants difficult to prevent and delay. With a rise in life expectancy, further ...
    • Deploying Credentials using the Libra Blockchain: Design, Implementation and Evaluation 

      Subedi, Pariwesh (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      Credential verification possess a unique challenge involving multi-disciplinary domains throughout the process starting from certification to verification of credentials. Even though technology has transformed many traditional ...