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  • Deep Learning in Precancerous Lesions Detection during Surveillance Colonoscopies of IBD Patients. 

    Roy, Mayank (Mastergradsoppgave; Master thesis, 2024-01-11)
    Deep Learning (DL) models have developed tremendously over the last couple of decades in their ability to train across large datasets and give fast and accurate results across a varied number of tasks like image classification and segmentation. This is the reason why DL models are being increasingly adopted for aiding medical professionals in the diagnosis and detection of various medical conditions ...
  • Parid-GO A Personalised Augmented Reality Game to Reinforce Outdoor Physical Activity for People with Intellectual Disabilities 

    Sivakumar, Keerthana (Mastergradsoppgave; Master thesis, 2023-09-11)
    Parid-GO A Personalised Augmented Reality Game to Reinforce Outdoor Physical Activity for People with Intellectual Disabilities. This project aims to develope a dynamic content solution that are user centric. The rationale is that by allowing the participants to customize and use other themes, colors, etc., the participant will be more engaged and use the application more. Which in turn will increase ...
  • Secure collection of physical activity data from study participants through mobile solutions 

    Fenes, Markus Madsen (Mastergradsoppgave; Master thesis, 2023-06-30)
    Biometric and health related data collected through automated features in smartphones and wearables can provide researchers with valuable information about the population. This thesis explores the possibilities of extracting data from Apple and Samsung wearable devices like watches and smartphones where native built-in support for data extraction and third-party data storage is not available. Doing ...
  • Simulating the Arctic Tundra Battery performance at sub-zero temperatures 

    Heggeli, Erik (Mastergradsoppgave; Master thesis, 2023-05-15)
    The Arctic Tundra is an extremely cold desert-like environment. It is the home to many different species of animals and plants. With the oncoming threat of climate change, this biome is at risk of losing its biodiversity. This disruption of the Arctic Tundra caused by climate change, is what researchers at COAT with the assistance of UiT’s DAO project is trying to monitor. To be able to achieve this ...
  • Exploring the Challenges of a Flexible, Feature Rich IoT Testbed 

    Hansen, Alexander Jakobsen (Mastergradsoppgave; Master thesis, 2023-05-15)
    IoT is a field of technology of ever growing importance in our daily lives. From smart cities, health devices, climate observations, appliances, and so much more, IoT surrounds us now more than ever. The types of devices being added to IoT networks is ever growing, and as this variety of hardware and software increases, so does the difficulty of working with them. Ensuring inter-compatibility between ...
  • Multi-site multi-synchronous support for SQLite augmented for Local- First Software 

    Khan, Tabassum (Mastergradsoppgave; Master thesis, 2023-05-12)
    At the one end of the spectrum, locally installed applications allow users to work offline and at their convenience but do not support collaboration among multiple users or devices. At the other end, cloud-based applications offer collaboration and data synchronization but require an uninterrupted internet connection. To address these limitations, Local-First software was introduced to merge the ...
  • Dárkon 

    Johansen, Sebastian Lyng (Mastergradsoppgave; Master thesis, 2023-05-22)
    Sports today are more competitive than ever, with an eye for extreme details. Small margins can differentiate between succeeding or failing. That is why it is essential for a team to pay attention to all these margins and use them to their advantage. Technology today plays a huge part in sports. With video cameras and sensors following the players’ every move, it is vital to use this technology ...
  • Tram-tastic Cloud Computing 

    Baig, Mirza Aneeq Hassan (Mastergradsoppgave; Master thesis, 2023-05-14)
    This master’s thesis evaluates the scalability and cost-effectiveness of the AWS cloud platform used to collect and utilize data generated by the 87 digitally equipped trams. The SL-18 Cloud Platform was developed before the trams arrived, and resource configuration estimates were made to handle the data generated by the trams. However, with a few trams currently operational, it is crucial to evaluate ...
  • ZeroComm: Decentralized, Secure and Trustful Group Communication 

    Witharanage, Yasiru Rathsara (Mastergradsoppgave; Master thesis, 2023-05-15)
    In the context of computer networks, decentralization is a network architecture that distributes both workload and control of a system among a set of coequal participants. Applications based on such networks enhance trust involved in communication by eliminating the external author- ities with self-interests, including governments and tech companies. The decentralized model delegates the ownership ...
  • Sneak 

    Syversen, Torkel (Mastergradsoppgave; Master thesis, 2023-05-15)
    Secure multiparty computation (SMC) is a technique that allows multiple parties to jointly compute a function while keeping their inputs private. This technique has gained significant attention due to its potential applications in various fields, including privacy-preserving healthcare, politics and finance. SMC involves a set of protocols that enable parties to achieve secure computation and ...
  • Presenting CODS (Cell Organelle Dynamic Simulation) 

    Celeste, Aaron (Master thesis; Mastergradsoppgave, 2023-05-15)
    The interactions between organelles within living cells have an effect on the health of the organism [1]. One way to study this behavior is to develop algorithms which can automatically detect and track objects in microscopy video data. A large amount of data is needed to train algorithms to identify particular behaviors in subcellular machinery. If the case of segmentation is considered, videos of ...
  • Interactive visualizations of unstructured oceanographic data 

    Kirkvik, Simen Lund (Mastergradsoppgave; Master thesis, 2023-02-15)
    The newly founded company Oceanbox is creating a novel oceanographic forecasting system to provide oceanography as a service. These services use mathematical models that generate large hydrodynamic data sets as unstructured triangular grids with high-resolution model areas. Oceanbox makes the model results accessible in a web application. New visualizations are needed to accommodate land-masking and ...
  • Designing and presenting digital nudges on mobile phones Building an app based on system requirements and usability heuristics 

    Kristoffersen, David (Mastergradsoppgave; Master thesis, 2022-12-15)
    The environment is progressively affected by global warming and pollution, whereas fossil fuel transportation is one of the major causes. This thesis describes a system that aims to support users in choosing environmentally friendly transportation alternatives. The system uses digital nudging to motivate behavioral change in a non-intrusive manner. This project focuses on the presentation of ...
  • Record linkage of Norwegian historical census data using machine learning 

    Park, Narae (Mastergradsoppgave; Master thesis, 2022-08-02)
    The Historical Population Register (HPR) is a project to build the longitudinal life history of individuals by integrating the historical records of the people in Norway since the 19th century. This study attempted to improve the linking rate between the 1875-1900 censuses in HPR, which is currently low, using machine learning approaches. To this end, I developed a machine learning model for linking ...
  • Nudging according to user’s preferences 

    Saleem, Sufyan (Mastergradsoppgave; Master thesis, 2022-11-15)
    Physical inactivity has been identified as a global pandemic, physical inactivity causes multiple health outcomes in different demographic group such as coronary heart disease, type 2 diabetes, colon, and breast cancer. A physical inactive person takes less than 5000 steps a day. To try to reduce physical inactivity along individual for healthy lifestyle, this thesis provides personalized digital ...
  • Triggering the next nudge 

    Ottestad, Thomas Forsgren (Mastergradsoppgave; Master thesis, 2022-08-26)
    The aim of this thesis is to establish if a smart nudging system using triggers could be used to better understand the user and their situation as well as aiding in selecting a target activity as part of a complete smart nudging system. Explore how such a system can be used to determine when a user should be nudged and how it can learn from feedback from the user to make changes to itself and ...
  • Privacy-Preserving and Secure Pilot Self-Assessment 

    Eide, Kim Grønning (Mastergradsoppgave; Master thesis, 2022-05-15)
    There is a strong culture for using safety risk management tools to monitor the different parts of the operation in the aviation industry. However, most of the monitoring that is being done is done on the technical conditions of the aircraft rather than on the pilot. While there is an expectation that the pilots self-assess their health regarding how fit the pilot is to operate an aircraft, all the ...
  • Improving audio training for Cochlear Implant users 

    Opdahl, Christer Hagenes (Mastergradsoppgave; Master thesis, 2022-05-15)
    A Cochlear Implant(CI) is an implant that replaces the functionality of the inner ear with an electronic prosthesis. The prosthesis stimulates the auditory nerves within the cochlea so that people with auditory disabilities regain hearing. While the medical process of inserting the implant is relatively straightforward, learning how to use the implant may be difficult. This thesis proposes a ...
  • Management of large geospatial datasets 

    Lau, Ka Hin (Mastergradsoppgave; Master thesis, 2022-05-15)
    In large simulations, like predicting the movement of ocean particles, it is common that simulation executions are related when they share one or more inputs. When the number of simulations increases, it becomes harder for users who run the simulations to keep track of all the simulations. Also, more storage spaces are wasted if there are multiple copies of the same input files. This thesis ...
  • Budget-aware scheduling algorithm for scientific workflow applications across multiple clouds. A Mathematical Optimization-Based Approach 

    Ziagham Ahwazi, Amin (Master thesis; Mastergradsoppgave, 2022-05-16)
    Scientific workflows have become a prevailing means of achieving significant scientific advances at an ever-increasing rate. Scheduling mechanisms and approaches are vital to automating these large-scale scientific workflows efficiently. On the other hand, with the advent of cloud computing and its easier availability and lower cost of use, more attention has been paid to the execution and scheduling ...

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