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City Safety Event Classification using Machine Learning
(2019-11-21)
City safety technology aims to reduce vehicle collisions using activated warnings
and braking based on automated detection of environmental threats. However, automatic
detection of tentative collisions may differ from ...
Good News AI Investigating feasibility of categorizing positive sentiment in general news
(2020-07-06)
In today’s society we are constantly fed information about catastrophic or sad events
through media. While it is important to know about these events, it should be
equally important to also see all the good things that ...
Fault detection power of unit and system testing in Java open source projects
(2021-07-06)
Testing is one of the most crucial steps in providing quality for software products.
Two key and heavily used testing levels are unit and system testing, each level hav ing different benefits and drawbacks. For their ...
Convolutions on graphs for learning vehicle crash behaviour
(2021-11-09)
Convolutional Neural Networks (CNN) have shown successful results in the recent years, especially within the area of image analysis. The idea of learning to predict the result of a crash simulation using machine learning ...
Learning Geometry Compatibility with 3D Convolutional Neural Networks
(2019-10-04)
Modern video games offer substantial amounts of customization options. Manually testing the visual compatibility of all options is time-consuming and error-prone. Together with Ghost Games, we present a method of learning ...
The Tower: Design of Distinct AI Personalities in Stealth-Based Games Modeling personalities with believable and consistent behaviour for NPCs in games using stealth gameplay style
(2021-03-03)
Computer games using stealth situations for defining their gameplay often rely on
modeling an immersive, yet exploitable non-player character behaviour. Traditionally, the aim of the design of such a behaviour is to provide ...
Evaluating trace link visualizations
(2021-03-03)
Traceability has become a very important part of the software development lifecycle and
therefor a lot of research has been done and is being done about it. Our aim with this
paper is to explore and evaluate the effect ...
Automated Metadata Extraction for Job Advertisements
(2022-06-20)
This thesis is written in collaboration with the Swedish Public Employment Service
and aims to investigate methods and techniques to automatically extract metadata
from unstructured texts. The Swedish Public Employment ...
Ethics of Artificial Intelligence: Experimenting with Ethics and Autonomous Vehicle AI Principles in Gameplay
(2022-11-23)
This project investigated whether ethical AI can change gameplay to be more immersive, engaging and unpredictable. The game was developed using Behaviour Trees, A* Pathfinding and Finite State Machines to model ethical AI ...
Finding the Sweet Spot
(2022-06-29)
Complex carbohydrates, or glycans, are involved in cancer progression and could
thereby serve as diagnostic markers as well as therapeutic targets. However, new
research is required to determine which glycan motifs are ...