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Masteruppsatser
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Balancing Fun and Function: Exploring Game Design Features for Long-Term Engagement in Anxiety-Relief Serious Games
(2025-10-09)Anxiety disorders are one of the most common psychological disorders, yet many people who are experiencing anxiety-related symptoms often remain undetected and untreated. To address this issue, more accessible and engaging ... -
Characteristic Stripe Pattern Masks Creation for Driving Maneuvers Identification Using Synthetic Data
(2025-10-09)Previous research has demonstrated that encoding n-dimensional driving data using space-filling curves reveals visual patterns that we call CSPs, which repeat among trajectories of the same type (e.g., roundabout passings, ... -
Machine Learning on the football field: Predicting match performance through GPS data
(2025-10-09)This master thesis evaluates machine learning models for predicting football match performance from GPS-based practice data. The growing use of GPS-based wearable tracking in professional football underscores the need for ... -
Multi-Turn Contextual Sentiment Analysis of IT Support Dialogues: A BERT-based Approach
(2025-10-09)This thesis investigates whether modern natural language processing (NLP) techniques can extract reliable sentiment insights, within the textual content of ITsupport dialogues. Declining survey response rates and limited ... -
Can This Sensor be Removed? Investigating ML Models for Virtual Sensors in Injection Molding
(2025-10-09)Injection molding relies on physical sensors to monitor critical variables such as pressure, temperature, and actuator positions. However, these sensors can be costly to install and maintain, especially in industrial ... -
Enhancing Patient Understanding of Medical Findings Through NLP and 3D Models
(2025-10-09)This thesis investigates patient communication in clinical settings, recognizing that effective communication is vital for ensuring patient compliance and successful treatment outcomes. Complex clinical jargon and inadequately ... -
Assessing Accessibility in Tabletop Games for Inclusive Museum Experiences
(2025-10-09)This research explores tabletop game accessibility in a museum setting, specifically for the "A World of Games" exhibition at Världskulturmuseet. The study began with an evaluation of the games on display, followed by a ... -
Towards a System-Level Functional Language: Lithium
(2025-10-08)Functional programming has a rich and well-documented history. In functional programming, large problems can be described by the composition of smaller building blocks. Despite its benefits, functional programming has ... -
Mapping comorbidity patterns in high needs paediatric patients: A machine learning approach
(2025-10-08)Background: Of children requiring hospital visits, High-cost, high-need (HCHN) children make up a small proportion of this paediatric population but account for a disproportionately large share of the total healthcare costs ... -
Interpretable Methods for Information Removal in Text-Based Learning: Exploring the Use of Large Language Models and SHAP as Information Removal Tools in Text Based Learning
(2025-10-08)In text analysis, it is sometimes necessary to remove or obscure certain information that should not be included in downstream processing or interpretation. This thesis addresses the challenge of removing such information ... -
AR as a Tool for Exploring Usage and Potential for the Industrial Division
(2025-10-08)This thesis examines the use of Augmented Reality (AR) as a tool to increase support in industrial settings. With increasing interest in industry 4.0 technologies, AR has emerged as a promising solution to assist operators ... -
Screen-Space Global Illumination Using Radiance Cascades in 3D Video Games
(2025-10-08)Achieving accurate Global Illumination (GI) is essential for creating visually compelling and photorealistic imagery in computer graphics. Recent advancements in GI typically require temporal accumulation or reuse of samples ... -
On Obfuscating JavaScript Code Using Large Language Models
(2025-10-07)Large Language Models (LLMs) have become increasingly popular for their proven capabilities in code analysis and synthesis, and code obfuscation is a suitable task. Generally, the purpose of obfuscation is to make a program ... -
What are some of the most significant ways that environmental and level design shape player experience and emotions?
(2025-10-07)The relationship between players and game environments is a vital aspect of game design, shaping how players experience and connect with the virtual world. This thesis explores how environmental and level design influences ... -
An exploratory field study on the use of data management and data quality requirements in ML-enabled software applied in environmental research
(2025-10-07)Integrating machine learning into environmental science has shown great promise in improving research outcomes. However, the effective application of machine learning and the reliability of the results depend heavily on ... -
From Challenge to Change: A Human- Centric Framework of Actionable Guidelines for AI Transformations
(2025-10-07)The rapid growth of Artificial Intelligence (AI) is reshaping Software Engineering (SE), offering new opportunities but also introducing human-centered challenges. While existing research highlights behavioral barriers in ... -
A Chalmers University of Technology Master’s thesis template for LATEX: Investigation of Curriculum Learning in Deep Generative Modelling Using Western Classical Music
(2025-10-07)Current deep learning approaches for symbolic music generation typically train on randomly ordered musical sequences, which can hinder the development of coherent musical structure and effective learning of long-term ... -
Cross-Platform Combat: Analyzing Player Experience Differences Between Mobile and PC
(2025-10-07)This study focuses on the experience difference in cross-platform combat and explores the differences in player operation experience, feedback perception and satisfaction on PC and mobile terminals under the same combat ... -
Optimizing Log Data Storage and Query Performance: A Study on Industrial Applications
(2025-10-07)This thesis covers an in-depth analysis of storage efficiency optimization and query performance improvement in highly scalable log management systems. As log volumes are experiencing exponential growth, optimization of ... -
From Coarse Sampling to Insight: An Intelligent Testing Technique for Autonomous Haulage Systems
(2025-10-07)The mining industry is undergoing rapid transformation through the adoption of autonomous haulage systems (AHS), which promise improved safety, efficiency, and productivity. However, the testing of these systems remains a ...