Masteruppsatser: Recent submissions
Now showing items 1-20 of 242
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Feature Selection for Microarray Data via Stochastic Approximation
(2024-03-18)This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its ... -
Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes
(2024-03-05)In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be ... -
Simulating Mobility of Large Population using Mobile Application Data
(2024-01-23)Understanding people’s travel patterns and knowing the frequency of their travel activities provide important insights for effective transport management and infrastructure planning. While traditional travel surveys have ... -
Digital Twins and Sustainability: A Comprehensive Review of Limitations and Opportunities
(2023-12-04)During the past few years there has been an increasing push to deliver sustainable products and improve production processes to meet the growing demand faced by various types of industries. There is a high importance placed ... -
Creating a Dependency Management DevBot to Improve DeveloperWorkflows
(2023-12-04)Software Development Bots (DevBots) are automated tools that handle tasks in a software development setting, often used to simplify daily routines. Research within the field evaluates the use of DevBots but most focus on ... -
Rules of Thumb for VR RTS games
(2023-11-30)Creating good user interfaces in VR can be a challenge especially when trying to make strategy games in VR. The reason is that strategy games tend to have a lot of GUI (Graphical User Interface) on the screen during ... -
Data streaming provenance in advanced metering infrastructures
(2023-11-24)Increasing volumes of data in digital systems have made the traditional approach of gathering and storing all the data while analyzing it in bulks at periodic intervals challenging and costly. One such field is the ... -
Key Sentence Extraction From CRISPR-Cas9 Articles Using Sentence Transformers
(2023-11-09)The annotation of CRISPR-related articles and extraction of key content has traditionally relied on manual efforts. Manual annotation is error-prone and timeconsuming. This thesis presents an alternative approach using ... -
Method and Tooling for Automated Conformance Checking between Architecture - design and Implementation
(2023-10-25)Many software and/or automotive companies use UML models to write the requirements and later they are implemented by coding. Involving multiple engineers from different teams makes the whole process complex and cumbersome. ... -
Agda on Raspberry Pi
(2023-10-25)This thesis presents an Agda-to-C compiler targeting the Raspberry Pi Pico microcontroller. The compiler implementation includes an unusual choice of run-time algorithm, a Foreign Function Interface generator, and surprisingly ... -
Creation of a Virtual Reality Experience for the Virtual Conservation of The Flamman Theater Using Unreal Engine 4
(2023-10-25)The Flamman Theater identity was successfully digitally preserved for the cultural heritage of Gothenburg by creating a video game, while tested with pandemic restrictions. On the technical side, this project combines ... -
A type-driven approach for sensitivity checking with branching
(2023-10-24)Differential Privacy (DP) is a promising approach to allow privacy preserving statistics over large datasets of sensitive data. It works by adding random noise to the result of the analytics. Understanding the sensitivity ... -
The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study
(2023-10-24)With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged ... -
Image Quality Assessment Pipeline and Semi-Automated Annotation method for Synthetic Data
(2023-10-24)Predicting human emotions through facial expression, particularly in relation to medication field such as clinical trial settings, has garnered scientific interest in recent years due to significant understanding of the ... -
Compression of Sequential Voxel Data for Sequence-based Animation
(2023-10-23)This thesis presents a method for lossy compression of voxel data in an animation sequence. Uncompressed voxel animation can become very memory intensive and therefore need a more efficient method to store and render such ... -
Relaxed Priority Queue & Evaluation of Locks
(2023-10-23)We present a new, lock-free and concurrent priority queue, utilizing some ideas from [1] by Rukundo et al., that relaxes the traditional sequential semantics of the delete_min operation to achieve better scalability and ... -
Evaluating and optimizing Transformer models for predicting chemical reactions
(2023-10-23)In this thesis, we assess the effectiveness of a transformer model specifically trained to predict chemical reactions. The model, named Chemformer, is a sequence-tosequence model that uses the transformer’s encoder and ... -
Improving echocardiogram view classification using diffusion models
(2023-10-23)In the field of medical science datasets are often highly imbalanced, where rare datapoints are of high importance. This study aims to explore the usage of synthetic datasets to improve the classification of echocardiogram ... -
Risk-Averse Multi-Armed Bandit Problem with Multiple Plays
(2023-10-23)This study aims to construct an efficient heuristic, referred to as RA, for a riskaverse Markovian multi-armed bandit problem (MAB) with multiple plays. The RA incorporates risk-aversion and multiple plays by modifying the ... -
Applying ChatGPT in AI-based dynamic video game narrative generation system
(2023-10-23)ChatGPT’s release and general availability has the potential to create new possibilities for storytelling in games. There are potential benefits of leveraging ChatGPT to generate a narrative at runtime in a video game, as ...