Blar i TKD - Institutt for informasjonsteknologi - Masteroppgaver på utgivelsesdato
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How Fast Can We See? An Eye-Tracking Study on Perceiving High-Frequency Stimuli
(Master thesis, 2024)The exploration of human cognition has fascinated philosophers and scientists for centuries. With the advent of high-frequency computer monitors, it's now possible to present quickly vanishing visual stimuli and investigate ... -
Cloud Scaling with Narrative-Driven Computing - An approach to designing and implementing algorithms with intrinsic explainability
(Master thesis, 2024)With the emergence of cloud computing, allowing for flexible and scalable infrastructures, dynamic resource allocation has become an important aspect of service management. An optimized resource allocation strategy can ... -
ECG data classification and explainability with machine learning and deep learning algorithms
(Master thesis, 2024)This thesis investigates the application of explainable artificial intelligence (XAI) algorithms for electrocardiogram (ECG) data classification, focusing on the performance of the enhanced ST-CNN-5 model compared to ... -
Improving the pipeline for the data processing of fNIRS
(Master thesis, 2024)This thesis strives to meet the pressing demand within the ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT) Lab for Biomedical Engineering researchers at Oslo Metropolitan University, for a more adaptable ... -
A complete CI/CD pipeline for automatizing application containerization and deployment in the Kubernetes cluster
(Master thesis, 2024)This research presents the design and implementation of a comprehensive continuous integration/continuous deployment (CI/CD) pipeline. This proposed framework automates the process of application containerization and ... -
Exploring Noise Dynamics: Identifying Most Active and Destructive Noises in IBM Quantum Computers
(Master thesis, 2024)This thesis addresses noise related problems by proposing a method to determine the most significant stochastic noises on three different IBM Quantum computers. It further explores whether these identified dominant noises ... -
Machine Learning Isolation Forest-based Detection of Distributed Denial of Service Attacks on 5G Core Networks
(Master thesis, 2024)In the modern networking landscape, with the emergence of 5G and 6G networks, the ecosystem has become increasingly heterogeneous. This added complexity also increases the potential for more prominent cyber-threats, resulting ... -
Towards Diagnosis of Dementia: Microstate Analysis of EEG Signals and Classification using Machine Learning
(Master thesis, 2024)Dementia is a neurodegenerative disorder characterized by cognitive decline which presents significant challenges to healthcare systems around the world. Early and accurate detection is important for effective intervention ... -
Multimodal AI-Based Summarization and Storytelling for Soccer on Social Media
(Master thesis, 2024)Soccer is not only a beloved global sport but also a significant industry that generates substantial revenue through sponsorship, merchandise, broadcast rights, and ticket sales. In today’s digital age, the way fans consume ... -
An Investigation into Usability and Universal Design of Website Cookie Settings Interfaces.
(Master thesis, 2024)The purpose of this thesis is to investigate the usability and universal design of cookie interfaces. Considering increasing concerns about online privacy and data protection, this study aims to identify the primary usability ... -
Comparison of motor cortex activation in response to individual finger movements from the right hand using functional near-infrared spectroscopy (fNIRS)
(Master thesis, 2024)This study investigates neural activations within the motor cortex during finger-tapping tasks using functional near-infrared spectroscopy (fNIRS). Focusing on individual fingers of the right hand, the research aims to ... -
Stock Market Time Series Forecasting using Transformer Models
(Master thesis, 2024)This thesis examines the effectiveness of various machine learning (ML) models in predicting stock prices, with a special focus on ensemble methods that integrate multiple predictive models. This study evaluates the ... -
The Role of ChatGPT in Academic Writing: An Exploratory Study
(Master thesis, 2024)The rapid growth of ChatGPT and other Large Language Models (LLMs) has revolutionized the writing process, significantly altering the landscape of text generation and composition across various domains. While offering ... -
Detection of Body Shaming in Social Media: A Comparative Study of Traditional Machine Learning and Transformer-based Models
(Master thesis, 2024)With social media becoming a significant part of the daily life among people of all ages, people are also faced with harmful contents which could have a negative impact on their wellness. Body shaming is one such area where ... -
SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries
(Master thesis, 2024)The rapid growth and increasing availability of sports multimedia and metadata demands advanced information retrieval systems capable of efficiently processing vast amounts of multimodal data. This paper introduces SoccerRAG, ... -
A system for collecting labelled data and evaluating AI algorithms for in-ear detection in hearing protection
(Master thesis, 2024)This thesis investigates the integration of artificial intelligence (AI) algorithms to precisely determine the status of an earplug within hearing protection devices, discerning whether it is correctly inserted in the ear ... -
Less is More - Adapting the YOLOv8 Network for Multi-Spectral Human Presence Detection
(Master thesis, 2024)Institutions involved with Search And Rescue (SAR) operations have found innovative ways of enhancing the efficiency of their efforts by utilizing drones equipped with thermal cameras to help better locate individuals in ... -
Evaluating Impact of Accessibility of Mobile Web Forms on User Experience
(Master thesis, 2024)This thesis investigates the impact of accessibility of mobile web forms on user experience. This study aims to determine the concrete ways in which accessibility features influence the user experience of mobile web forms, ... -
Electoral Symbols and Vote Recognition on Paper Ballots- A Case Study of Nepal's General Election
(Master thesis, 2024)In electoral processes, which primarily use paper-based voting methods, this paper explores the application of advanced object detection technologies to improve the accuracy and efficiency of voting. Specifically, the goal ... -
SmartCrop: AI-Based Cropping of Sports Videos
(Master thesis, 2024)Sports multimedia is among the most prominent types of content distributed across social media today, necessitating the retargeting of videos to diverse aspect ratios for appropriate representation on different platforms. ...