• ARDENT - An Augmented Reality Framework for Education 

      Jørgensen, Ove Kristian; Sørensen, Marius (Master thesis, 2022)
      Virtual Reality (VR) in education and medicine has been a widely researched area. Increase in motivation and learning gain is demonstrated to be directly related to introduction of VR applications. However, the necessity ...
    • ARDENT - An Augmented Reality Framework for Education 

      Jørgensen, Ove Kristian; Sørensen, Marius (Master thesis, 2022)
      Virtual Reality (VR) in education and medicine has been a widely researched area. Increase in motivation and learning gain is demonstrated to be directly related to introduction of VR applications. However, the necessity ...
    • Blockchain based hospital data management using HyperLedger Fabric 

      Glenna, Magnus; Woie, Fredrik (Bachelor thesis, 2021)
      Technological progress has pushed blockchain technology to cover a multitude of use cases and environments with different types of technology and frameworks. HyperLedger Fabric is a framework for creating a permissioned ...
    • Blockchain based hospital data management using Hyperledger Fabric. 

      Woie, Fredrik; Glenna, Magnus (Bachelor thesis, 2021)
      Technological progress has pushed blockchain technology to cover a multitude of use cases and environments with different types of technology and frameworks. HyperLedger Fabric is a framework for creating a permissioned ...
    • 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 This is a slow and laborious method that in this day and age is outdated ...
    • Deep learning-based automated detection and clustering of potholes using variational autoencoder for efficient road maintenance 

      Grønner, Daniel; Eik, Elisabeth (Master thesis, 2023)
      In this study we explore the possibility of using unsupervised learning for pothole detection. We will use images of roads from Brazil where both potholes and cracks can be present in the images, as well as clean images ...
    • Evolving Deep Neural Networks for Continuous Learning: Addressing Challenges and Adapting to Changing Data Conditions without Catastrophic Forgetting 

      Atamanczuk, Bruna; Karadas, Kurt Arve Skipenes (Master thesis, 2023)
      Continuous learning plays a crucial role in advancing the field of machine learning by addressing the challenges posed by evolving data and complex learning tasks. This thesis presents a novel approach to address the ...
    • Implementing an Adaptive Genetic Algorithm in the Atari Environment 

      Nesse, Andreas (Master thesis, 2021)
      This thesis attempts to implement a genetic algorithm for training agents within the Atari game environments. The training is performed on hardware of a widely available character, and so the results give an indication of ...
    • Intelligent supply and demand for marine protein factory (based on MindSphere platform) 

      Heidari, Paria (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-23)
      The purpose of this project is to collect Internet Of Things data from available sources in the value chain. Our viewpoint to observe IoT data streams from all different processes in the factory as well as get an ...
    • NFT Marketplace 

      Haaland, Aleksander Vae; Thompson, Marcus Meihack (Bachelor thesis, 2022)
      Med de raskt voksende globale blokkjedemarkedene, er utvikling av desentraliserte applikasjoner som ligger på blokkjeder som Ethereum, Fantom og Avalanche av økende interesse. Derfor er hovedmålet med denne oppgaven å ...
    • NFT Marketplace 

      Haaland, Aleksander Vae; Thompson, Marcus Meihack (Bachelor thesis, 2022)
      Med de raskt voksende globale blokkjedemarkedene, er utvikling av desentraliserte applikasjoner som ligger på blokkjeder som Ethereum, Fantom og Avalanche av økende interesse. Derfor er hovedmålet med denne oppgaven å ...
    • Predictive maintenance with industrial sensor data 

      Sakarvadia, Manisha Pranav (Master thesis, 2023)
      The Norwegian Ministry of Petroleum and Energy Commissions report shows that the government is making a large step closer to its ambition of allocating regions for 30,000 MW offshore wind via way of means of 2040. According ...
    • Refactoring Monolithic Application into Cloud-Native Architecture 

      Shahid, Hafiz (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)
      Cloud Native is an approach, using which, applications are developed and run in such a way as to exploit and use the maximum features of cloud computing. Going cloud native does not just mean deploying your code to the ...
    • Smart Meter Based Load Forecasting for Residential Customers Using Machine Learning Algorithms 

      Resulaj, Redjol (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-12)
      The focus of this thesis is the use of machine learning algorithms to perform next step short term load forecasting on fifty five households in Stavanger, Norway. A dataset containing electricity consumption data for more ...
    • Social Media Influence Analyzer 

      Guniem, Mohammed (Master thesis, 2021)
      In a time where online social media has a significant influence on both individuals and groups of people in our modern societies, there is a need to have a digital tool that helps gather and construct data from online ...
    • Use of machine learning algorithms to predict well barrier elements and envelopes in drilling operations 

      dos Anjos, Daiana (Master thesis, 2021)
      Digitalization is a concept that have been widely approached in the oil and gas industry in the recent years. The amount of information generated in this industry is vast and the operation requirements are strict. However, ...