For people with Type 1 Diabetes Mellitus (T1DM), engaging in physical activities (PA) presents unique challenges. The aim of this thesis was to improve the prediction of blood glucose (BG) levels for individuals with T1DM during and after PA. The study began with a literature review to guide the research direction and understand existing prediction models. Then particular emphasis was placed on ...

The advancement in the field of Artificial Intelligence (AI) has brought revolution in almost every field of life, and Journalism is also one of them. Which includes prospective use in Investigating reports and uncovering information. This project explores the avenue of integrating technologies such as Large Language Model (LLM) with the Vector Databases. At the same time, the motive is to address ...

Advanced analysis tools leveraging invasive tracking technologies such as gps and manual event tagging has become a global staple in top-tier soccer clubs for enhancing their strategical decision making and insight. These tools rely on precise coordinate data, with their effectiveness significantly enhanced when this data is produced in real-time. With the rapid advancement in computer vision and ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...