Master theses
Nye registreringer
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Effective Volumetric Sculpting for Focus+Context Visualization, utilizing Implicitly Defined Surfaces and VR-on-Demand
(Master thesis, 2024-02-22) -
Implementing Structural Search and Replace for Showcasing ECMAScript Language Proposals
(Master thesis, 2024-06-07)Technical Committee 39 (TC39) of Ecma International is the body responsible for the evolution of the ECMAScript programming language, better known as JavaScript. Suggested changes to the language are presented in a form ... -
Tau Lepton Classification With Graph Neural Networks
(Master thesis, 2024-06-03)This thesis investigates the use of deep learning to classify tau leptons in high- energy physics experiments by employing Graph Neural Network (GNN)s. Tau leptons, unstable subatomic particles of the lepton class, decay ... -
Open APIs for Healthcare System Interoperability
(Master thesis, 2024-06-03)The demographic changes in Norway are increasing the pressure on the Norwe- gian healthcare system to provide more efficient care. Adopting digital health technologies can address this challenge by making current healthcare ... -
Axiom Based Testing in Java
(Master thesis, 2024-06-03)Software plays a crucial role in today's society. Making sure that software is reliable is therefore very important. To make reliable software it is important to test it. Axiom-based testing gives us a way of specifying ... -
Flushable Promises: Modular Event Coalescing in Graphical User Interface Programming
(Master thesis, 2024-06-14)Graphical user interfaces (GUIs) are everywhere. They serve as the primary means of interaction between an application and its users. Developing GUIs with complex dataflows, where multiple elements depend on each other's ... -
From Data to Decisions: ML-Based Job Failure Analysis for the ALICE experiment
(Master thesis, 2024-06-03)This paper researches the possibility of utilizing machine learning to locate factors contributing to a failing job at the ALICE grid, focusing on the grid site at the University of Bergen. A prototype system has been ... -
Least Surprising Dataflows in Constraint Based Graphical User Interfaces
(Master thesis, 2024-06-10)There are many approaches for implementing Graphical User Interfaces (GUI) since programming GUIs is a difficult and complex task. This thesis focuses on a prticular GUI development approach, one based on multi-way dataflow ... -
Implementation and Evaluation of a Messaging Service for the Smart Ocean Platform
(Master thesis, 2024-06-03) -
Developing an Adaptive Planning Framework for Multi-Robot Missions
(Master thesis, 2024-06-03) -
A Benchmarking Suite for Persistent Homology
(Master thesis, 2024-06-03) -
Exploring Methods for Quantifying Expressibility and Entangling Capability of Parameterized Quantum Circuits
(Master thesis, 2024-06-03)Quantum Machine Learning (QML) is an exciting fusion of two disciplines, wherein classical machine learning techniques are augmented by quantum computation. Central to QML is the utilization of quantum bits, exploiting ... -
Stem cell identification via RNA sequencing in breast cancer.
(Master thesis, 2024-06-03)Breast cancer is a complex, heterogeneous disease with distinct cancer subtypes. When the breast organ develops, it has a large pool of mammary stem cells. These cells have the potential to give rise to the various cell ... -
Customized and Autonomous Learning in Computer Science: A conceptualized Learning Activity Recommendation System
(Master thesis, 2024-06-03) -
Diverting Networks with Odd Paths
(Master thesis, 2024-06-17)Problemet Kortest Odde Sti er å finne en sti fra en node til en annen i en graf, der antall kanter i stier må være et oddetall. Selv om problemet virker som kun intet annet enn en kuriøsitet, er verdien i det at mange ... -
Multitask variational autoencoders
(Master thesis, 2024-06-03)Variational autoencoders (VAEs) are widely used for generative modeling and repre- sentation learning tasks. This thesis presents two novel approaches aimed at enhancing the performance of VAEs through the integration of ... -
Solving Maximum Weighted Matching problem using Graph Neural Networks
(Master thesis, 2024-06-03)In this work we train a graph neural network model to solve the Maximum Weighted Matching problem on graphs using supervised learning. Unfortunately, the final results were below the set expectations. The model seemed to ... -
Simplest path betweenness centrality in embedded planar graphs
(Master thesis, 2024-06-03)In this thesis we present an alternative definition of distance, which aims to minimize the overall angle sum between adjacent edges in a path from s to t. In addition to this, we propose a corresponding centrality measure, ... -
Enhanced Anomaly Detection in Industrial Control Systems aided by Machine Learning
(Master thesis, 2024-05-29)This thesis investigates the potential of enhancing anomaly detection in Industrial Control Systems (ICS) through the integration of Machine Learning (ML) with traditional Network Intrusion Detection Systems (NIDS) and ... -
Bounding Algorithms for the Minimum Broadcast Time Problem
(Master thesis, 2024-06-03)The minimum broadcast time problem concerns information dissemination in a graph given a set of initially informed nodes called source nodes. Each informed node can only inform at most one of its neighbors each time step. ...