Cali, Rayan
This Master’s thesis addresses the challenge of enhancing the resolution and quality of bathymetric data collected from Multibeam Echosounders (MBESs). High-resolution bathymetric maps are essential for various marine applications, including geographical planning, numerical modeling, and marine scientific research. However, obtaining high-quality b...
Zhao, Yu
In recent years, climate change and human activities have caused increasing numbers of wildfires. Earth observation data with various spatial and temporal resolutions have shown great potential in detecting and monitoring wildfires. Sensors with different spatial and temporal resolutions detect wildfires in different stages. For low spatial resolut...
Persson, Carl
State of the art text-to-image diffusion models has found success in generating images of high quality, however equivalent text-to-3D diffusion models does not perform as well due to the lack of training data and increased spatial complexity. Recent advancements has therefore utilized text-to-image diffusion models for 3D object generation through ...
Asplund Sjunnesson, Edward
At SciLifeLab in Stockholm, the Önfelt Lab is researching gamma delta T cells, immune cells that can kill tumor cells. They have identified new traits of the killing mechanisms granzyme B and death-receptor used by these immune cells. Currently, annotating data for analysis involves identifying instances of tumor cells induced with these mechanisms...
Burke, Molly
Vessel formation from pre-existing vascular networks, known as angiogenesis, is a vital physiological process only intended to occur during controlled growth and healing. It can however be initiated by tumors to during cancer progression through the ”angiogenic switch”. Understanding angiogenesis is crucial when developing targeted therapies that a...
Assadi, Aria
Developing predictive models that can accurately simulate future positions in sports could revolutionise current modelling practices. This thesis endeavours to create a model capable of simulating football games two seconds into the future. By utilising tracking data, in combination with a player database from Football Manager, the goal of the proj...
Wickström, William
The accurate prediction of lightning strikes is crucial for disaster preparedness, risk mitigation, and resource allocation. Traditional numerical weather simulations, while effective, are computationally intensive and complex. Recent advancements in deep learning offer a promising alternative for more efficient and precise weather forecasting. Thi...
Zetterman, Noa
Using natural language to search databases is one of the oldest applications of Natural Language Processing. With the recent developments using Transformer-based Large Language Models, the possibility to convert any natural language question into SQL with high accuracy has emerged. The current State-Of-The-Art models use ChatGPT-3.5 and GPT-4 with ...
Karimi Valdani, Adrian
Advancements in deep-learning architectures have revolutionized computer vision tasks across various domains, including sports. One such task is the creation of highlight clips, which involves editing broadcast sports events to feature the most important or interesting moments. This thesis focuses on automating parts of the highlight clip creation ...
O'Neill, Monia Chroscielewski, Jasmin
Genom litteratursökning och manuell datakompilering av sexualbrott mot barn, besvaras frågan “Vilka ord och fraser som förbrytare använder i konversationer är vanligt förekommande och kan användas som identifierande markörer av grooming?” och resulterade i en ordlista av könsord, sexuellt nedvärderande skällsord, och interjektioner som utrop, uppma...