Now showing items 155-174 of 202

    • Rule learning of the Atomic dataset using Transformers 

      Æsøy, Kristoffer (Master thesis, 2023-06-02)
      Models used for machine learning are used for a multitude of tasks that require some type of reasoning. Language models have been very capable of capturing patterns and regularities found in natural language, but their ...
    • Rule mining on extended knowledge graphs 

      Jøsang, Johanna (Master thesis, 2022-06-01)
    • Safety and security of autonomous vessels. Based on the Yara Birkeland project 

      Evensen, Marte Hvarnes (Master thesis, 2020-05-05)
      Yara Birkeland will be the world’s first fully electric and autonomous container vessel with zero emission. It is being developed by Kongsberg and Yara. This is one of the autonomous projects ongoing in the maritime ...
    • Scalable Readout for Proton CT 

      Skjolddal, Øistein Jelmert (Master thesis, 2020-10-02)
      Denne oppgaven er en del av arbeidet med å utvikle en prototype detektor for proton CT. Den tar for seg første del av data prosessering nødvendig får rekonstruksjon og analyse av dataene og debugging av systemet..
    • Searchable Symmetric Encryption and its applications 

      Nilsen, Kristoffer Borg (Master thesis, 2022-06-01)
      In the age of personalized advertisement and online identity profiles, people’s personal information is worth more to corporations than ever. Storing data in the cloud is increasing in popularity due to bigger file sizes ...
    • Secure coding through integration of public information security sources to eclipse development environment 

      Lunde, Sivert (Master thesis, 2022-06-01)
      The use of open source components in software development has been growing at a rapid pace for a number of years. This increase in use of open source software is accompanied by an increase in the risk of security ...
    • Secure, reliable, and efficient communication over the wiretap channel 

      Algrøy, Joakim (Master thesis, 2022-06-01)
      Secure wireless communication between devices is essential for modern communication systems. Physical-layer security over the wiretap channel may provide an additional level of secrecy beyond the current cryptographic ...
    • Seismic Event Classification using Machine Learning 

      Stangeland, Tord Sture (Master thesis, 2021-06-02)
      The manual detection of seismic events is a labor intensive task, requiring highly skilled workers continuously analyzing recorded waveforms. Previous work has shown the potential of machine learning methods for aiding in ...
    • Selecting Maximally Informative Frequency Subsets for Acoustic Surveys 

      Holager, Knut Thormod Aarnes (Master thesis, 2022-06-01)
    • Sensitivity of Rotation Symmetric Boolean Functions 

      Steinsvik, Sindre Tornes (Master thesis, 2021-12)
    • Short-term Spatiotemporal Load Forecasting for Norwegian Bidding Zones 

      Følid, Atle (Master thesis, 2021-06-01)
      Short-term load forecasting is vital for electric utility companies. The objective of this thesis is the short-term load forecasting of the five bidding zones in the Norwegian electrical grid. This master thesis proposes ...
    • Side Channel Analysis on Bitsliced AES 

      Husum, Stian Johannesen (Master thesis, 2022-06-01)
      The current power analysis attacks on bitsliced AES only take into account the power consumption of a single bit. We present a way of combining multiple Differential Power Analysis attacks using different power models to ...
    • Simplest path betweenness centrality in embedded planar graphs 

      Oppegård, Vilde Dahl (Master thesis, 2024-06-03)
      In this thesis we present an alternative definition of distance, which aims to minimize the overall angle sum between adjacent edges in a path from s to t. In addition to this, we propose a corresponding centrality measure, ...
    • Simulating Private Information Retrieval on Amazon Web Services 

      Rygnestad, Eirik Bergesen (Master thesis, 2023-09-15)
      As our modern lives have gradually moved more and more online, companies and state actors have taken it upon themselves to gather and analyze our behavior online, and as these actors have gradually shown just how much they ...
    • Site Sonar - A monitoring tool for ALICE’s Grid Sites 

      Sandvik, Even Berge (Master thesis, 2021-12-17)
      As the data collected by the LHC increases, the demand for computing resources follow. The JAliEn middleware was created to handle the high-throughput of data expected from ALICE in Run 3. However, making the sites in ...
    • SmartSwarm - A Multi-Agent Reinforcement Learning based Particle Swarm Optimization Algorithm 

      Mostein, Herman Jangsett (Master thesis, 2023-06-01)
      Particle Swarm Optimization is a renowned continuous optimization method that utilizes Swarm Intelligence to find solutions to complex non-linear optimization problems efficiently. Since its proposal, many developments ...
    • Software to locate avalanche transceivers using drone 

      Arnesen, Kevin (Master thesis, 2020-06-08)
      Avalanches are dangerous events that can be lethal to victims caught by its devastating impacts. The survival chance of the victims decreases drastically with time, where after 10 minutes the chance for survival is slim. ...
    • Solving Maximum Weighted Matching problem using Graph Neural Networks 

      Zaicevs, Nikita (Master thesis, 2024-06-03)
      In this work we train a graph neural network model to solve the Maximum Weighted Matching problem on graphs using supervised learning. Unfortunately, the final results were below the set expectations. The model seemed to ...
    • Specially designed random forest loss function for high energy physics 

      Sprindys, Dovydas (Master thesis, 2022-06-01)
      The purpose of the ATLAS experiment at CERN is to provide a better understand of the underlying principles of fundamental particles and to potentially discover new ones, such as dark matter. The process of doing so is long ...
    • Specifying Actor-Based Computer Games 

      Røsæg, Tor Andreas (Master thesis, 2023-08-15)
      The actor model provides a higher level of abstraction for writing concurrent and distributed systems. It alleviates the developer from having to deal with explicit locking and thread management, making it easier to implement ...