TKD - Institutt for informasjonsteknologi - Masteroppgaver: Recent submissions
Now showing items 1-20 of 77
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Optimizing high-volume ECG Scan Digitization: A Cloud-Driven Approach Using Terraform and Ansible
(Master thesis, 2024)Abstract The digitization of medical data, especially Electrocardiography (ECG) scans, offers significant potential to enhance diagnostic accuracy and patient outcomes through advanced cloud automation and computational ... -
The impact of ChatGPT on students' academic writing
(Master thesis, 2024)A mere two months following the release of the Chat Generative Pre-Trained Transformer (ChatGPT) in late November 2022, the chatbot reached 100 million monthly active users by January 2023 (CHOW, 2023 ) Given the novelty ... -
Forecasting Dry Bulk Vessel Flows using AIS Data and Machine Learning
(Master thesis, 2024)This thesis explores the application of machine learning techniques for forecasting dry bulk vessel flows using Automatic Identification System (AIS) data. The study focuses on developing effective preprocessing methods ... -
Robotisation of welding process using information from 3D model
(Master thesis, 2024)The fourth industrial revolution, characterised by increased automation and robotics, is reshaping industries worldwide. In response to the growing demand for cost-efficient and rapidly evolving construction methods, with ... -
Optimizing Cloud Infrastructure Provisioning through Terraformand Genetic Algorithms
(Master thesis, 2024)Modern methodologies like DevOps have increasingly emphasized automation and efficiency in cloud infrastructure management, leading to the widespread adoption of Infrastructure as Code (IaC) and containerization. Kubernetes ... -
Applied AI for Telecom Revenue: Examining eXplainable AI in Customer Churn Prevention
(Master thesis, 2024)This master’s thesis presents a comprehensive study on applying artificial intelligence, particularly eXplainable AI (XAI), to predict customer churn in Telenor’s businessto- business (B2B) sector. The primary objective ... -
Facilitating health professionals in providing individualized feedback through an accessible web-based admin dashboard
(Master thesis, 2024)This thesis investigates the usability challenges faced by healthcare professionals when using web-based admin dashboards and explores how enhancing usability could improve diabetes management and prevention services. ... -
Triboelectric Energy Harvester Design for Musculoskeletal Health Monitoring
(Master thesis, 2024)The triboelectric generator offers a promising avenue for generating electricity on a small scale, harnessing biomechanical energy. Through the development of a functional prototype, meaningful results have been obtained ... -
Design and Development of a Dynamic Platform for Analyzing Foot Pronation and Supination.
(Master thesis, 2024)This thesis project was directed in looking into the question around the effect of supination and pronation specifically around its effect on our somatosensory system around the foot and secondly how to help researcher ... -
Autonomous condition monitoring of AutoStore robot components using AI-enabled visual inspection
(Master thesis, 2024)AI has increased in popularity over the last decade due to its rapid advance. While it has become popular with the man on the street for its language capabilities, companies also use it in fields such as automa- tion. ... -
Forecasting Air Poluttion using Transformer Models
(Master thesis, 2024)This thesis explores the application of transformer-based models for forecasting air pollution levels, specifically PM2.5 and PM10, in Oslo, Norway. The primary objectives were to evaluate the effectiveness of transformers ... -
Modular Automated Cyber Range Deployment with Adversary Emulation In Compliance with the Digital Operational Resilience Act (DORA)
(Master thesis, 2024)In the forthcoming Digital Operational Resilience Act (DORA), financial entities and their third-party service providers will be required to comply with best-practice cybersecurity measures. Of the measures, Threat- Led ... -
Accessible and usable mobile apps for mental health in higher education
(Master thesis, 2024)This thesis looks into the accessibility and usability of mobile applications meant to support mental health among students in higher education. This is an important topic because mental health problems are becoming more ... -
Enhancing Data Security in Healthcare with Synthetic Data Generation: An Autoencoder and Variational Autoencoder Approach
(Master thesis, 2024)The advent of machine learning and artificial intelligence (AI) in healthcare has revolutionized data analysis and patient care. However, utilizing real patient data presents substantial privacy and security challenges. ... -
Gearbox Anomaly Detection In Wind Turbines Using Classical Machine Learning
(Master thesis, 2024)The primary goal of this master thesis is to develop a data-driven model that can classify or predict the anomalies of wind turbines’ gearboxes by applying machine learning techniques. Firstly, the thesis reviews the ... -
Advanced Genomes for Evolution of Artificial Neural Networks
(Master thesis, 2024)The thesis titled "Advanced Genomes for Evolution of Artificial Neural Networks" explores the integration of evolutionary algorithms with artificial neural networks (ANNs) to enhance their adaptability and efficiency. The ... -
Optimal AI through Minimal Data: Enhancing Sentiment Analysis with Data Diversity for Norwegian
(Master thesis, 2024)This thesis challenges the prevailing notion in machine learning that "more data equals better performance" by demonstrating the effectiveness of undersampling techniques in enhancing model performance. Focusing on sentiment ... -
GitOps for Configuration Drift Management In Kubernetes Environments
(Master thesis, 2024)Modern software development and deployment is intricately intertwined with the paradigm shift towards containerization, orchestration, and cloud computing. The management of containerized applications in dynamic and ... -
Exploring Diffusion Models and Self-Supervised ViT's in Generating and Indexing Synthetic Data to Enhance Polyp Segmentation
(Master thesis, 2024)Polyps in the gastrointestinal (GI) tract is a known precursor to colorectal cancer (CRC), making detection and removal essential for cancer prevention. Despite the effectiveness of screening procedures like colonoscopies, ... -
Generative Machine Learning for Precision Medicine
(Master thesis, 2024)This thesis investigates the application of generative machine learning models to address missing data in healthcare datasets, focusing on enhancing the accuracy of patient outcome predictions. Central to this study is the ...