Masteruppsatser
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User-Centered Dashboard Design - Leveraging Design Thinking and Game Design Principles for Improving User Engagement
(2024-10-16)In this thesis, I explore the integration of design thinking and game design principles to enhance the functionality, user engagement, and accessibility of corporate dashboards. Amidst the backdrop of the rapid evolution ... -
Microservice-Based Metrology Applications: Uncertainty Calculations and Digital Calibration Certificate Generation
(2024-10-16)The metrology and calibration industries are increasingly exploring cloud-based solutions and microservice architectures to enhance productivity and accuracy. However, implementing these technologies presents challenges, ... -
On the Role of Attention Maps in Visual Transformers—A Clustering Perspective
(2024-10-16)This thesis delves into a novel area of research, exploring whether attention maps from a single-layer Vision Transformer model exhibit a clustering structure. The discovery of such a structure would imply that tokens ... -
Enhancing Coordination, Traceability and Compliance Checking in Systems Development
(2024-10-16)Context : Delivering safety critical software solutions that are dependable, and of high quality has been shown to depend heavily on ensuring standards compliance in system development. Ensuring adherence to safety ... -
Applying Machine Learning to High-Dimensional Proteomics Datasets for Biomarker Discovery in Neurodegenerative Disorders
(2024-10-16)Identifying biomarkers for Alzheimer’s Disease (AD), a progressive neurodegenerative disorder characterized by progressive cognitive decline is crucial for early diagnosis and treatment. This thesis explores proteomic ... -
Deep learning-guided prediction of mechanical properties in membrane resonators
(2024-10-16)Micro/Nano-electro-mechanical-systems (MEMS/NEMS) are often hailed as disruptive technologies, enabling highly precise measurements across a wide range of applications. In this project we focus on resonator-type MEMS, ... -
Comparing Text Scaling Methods for Measuring Party Cohesion - A case study of Swedish parliamentary debates
(2024-10-16)Only a few previous studies have utilised text scaling algorithms in the context of party cohesion. These efforts have lacked robust evaluation strategies and comparisons between different methods in terms of their ... -
Exploring Patterns in LLM Integration - A study on architectural considerations and design patterns in LLM dependent applications
(2024-10-16)The surge in the integration of Large Language Models (LLMs) into software applications marks an evolution in the software development industry, leading to research into architectural frameworks and design patterns ... -
Real-Time Novel-View Synthesis for the Web Using 3D Gaussian Splatting - Exploring Mesh-Supervised 3D Gaussian Scene Optimization and Efficient Web Rendering for Product Visualization
(2024-10-16)This thesis explores real-time novel-view synthesis for web applications using 3D Gaussian Splatting (3DGS), with a focus on enhancing product visualization. The study investigates two primary research questions: The ... -
Evaluation of In-Context Retrieval Augmented Language Models for Factual Consistency
(2024-10-16)Pre-trained large language models (LLMs) have shown remarkable performance in natural language processing (NLP) tasks, especially in question-answering. However, these models face challenges such as limited memory ... -
Subscription Management Platforms under the GDPR - A technical study of Subscription Management Platforms
(2024-10-16)In recent times there has been an increase in cookie tracking, where users’ data are collected through web cookies. Due to privacy concerns, many regulations have been developed — such as the General Data Protection ... -
Threat Attribution using Generative AI
(2024-10-16)Threat attribution is an important practice after an incident that does not only allow for legal actions against threat actors, but also to further enrich cyber threat intelligence (CTI). CTI then allows systems to be ... -
TableAnalyst: an LLM-agent for tabular data analysis - Implementation and evaluation on tasks of varying complexity
(2024-10-16)The automotive industry relies on manual analysis of tabular data, particularly for software test result evaluation. This time-consuming process diverts engineers from their core expertise. This study explores the ... -
Investigating Text-only and Multimodal Retrieval Augmented Generation frameworks for Visual Question Answering - A study on the impact of modality and parameter optimization
(2024-10-16)Verifying the correctness of product assembly processes in a manufacturing setting is a crucial part of ensuring the quality of products. Automating this procedure can help improve both the security and the efficiency ... -
Unveiling Economic Sentiment: Using a Large Language Model for Economic Sentiment Analysis from Monetary Policy Reports
(2024-10-16)This thesis explores the transformative potential of large language models (LLMs) in economic sentiment analysis, focusing on the Swedish central bank (Riksbank) as a case study. Utilizing the advanced LLaMa-2-7b-chat-hf ... -
Using Deep Learning for Efficient Labeling of Bearing Images - Overcoming the Challenge of Limited Labeled Data Availability
(2024-10-16)The development of complex deep learning models requires extensive labeled datasets, which are scarce in specialized fields due to the labor-intensive and time consuming nature of data labeling. This project aims to ... -
Leveraging Large Language Models to Generate Natural Language Explanations of AI Systems - A Framework for Natural Language Explanations
(2024-10-16)The acceleration of artificial intelligence (AI) deployment across various domains necessitates advancements in explainable AI (XAI) to enhance transparency and user interaction, including calibrating trust and reliance. ... -
A Case Study in the Game As We Descend - Key Design Considerations for Implementing Controller Support in Fast-paced Deck-Building Games
(2024-10-16)This study explores the critical design considerations for implementing controller support in fast-paced deck-building games. Through extensive prototyping, playtesting, interviews, and data analysis, several significant ... -
Using Language Models to evaluate annotation bias in the Manifesto Project Corpus
(2024-10-16)Good data is crucial for good research. Many organisations collect and provide data for research, in hopes of furthering our understanding of society. One such organisation is the Manifesto Project which curates a dataset ... -
Evaluating Lexicon-Based Models versus BERT for Sentence-Level Sentiment Analysis in Swedish
(2024-10-16)This thesis explores the development and evaluation of different approaches to sentiment analysis for the Swedish language, focusing on sentence-level sentiment detection. The study compares traditional rule- and ...
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