Blar i Department of Informatics på utgivelsesdato
Viser treff 1-20 av 1199
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Strong bounds and exact solutions to the minimum broadcast time problem
(Journal article; Peer reviewed, 2025)Given a graph and a subset of its nodes, referred to as source nodes, the minimum broadcast time problem asks for the minimum number of steps in which a signal can be transmitted from the sources to all other nodes in the ... -
Exploiting Redundant Designs with Side-Channel Attacks
(Doctoral thesis, 2024-09-09)Sidekanalsangrep (SKA) er en bred angrepsklasse der en angriper utnytter en uforventet informasjonslekkasje til å omgå et sikkerhetstiltak. Hvorfor skulle man orke å knekke en kryptert telefonsamtale når man kan stå i ... -
Low-Rank Parity-Check codes : Generalization and Improved Decoding for Low-Rank Parity-Check Codes
(Doctoral thesis, 2024-08-23)I 1978 foreslo McEliece en kryptografisk nøkkelforankringsmekanisme basert på kodeteori. Det underliggende matematiske problemet med å dekode en tilfeldig lineær kode ble bevist å være NP-fullstendig av McEliece og Berlekamp ... -
Towards good representations of single-cell protein expression data
(Master thesis, 2024-06-17)Many diseases including infections and cancer can evoke an immune response that is detectable as changes in the immune cell composition in blood. In cancers originating in the immune system, the immune cell composition can ... -
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 ... -
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 ... -
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 ... -
Model Predictive Control for Hybrid Energy Systems
(Master thesis, 2024-06-07)The global energy landscape has undergone increasing transformations in recent years, driven by the urgent need to adopt more sustainable and efficient energy sources. In Norway, offshore oil and gas installations have ... -
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 ... -
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, ... -
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. ... -
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 ... -
Towards prediction of CML Treatment Outcomes with Machine Learning and CyTOF Data
(Master thesis, 2024-06-03)Predicting responses to therapy for patients with Chronic Myeloid Leukemia (CML) is crucial for optimizing treatment strategies. This study utilizes machine learning models with mass cytometry (CyTOF) data from samples ... -
Customized and Autonomous Learning in Computer Science: A conceptualized Learning Activity Recommendation System
(Master thesis, 2024-06-03) -
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 ... -
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 ... -
Designing Approachable and Accessible Visualizations of Genomics Data for a Mixed Audience
(Master thesis, 2024-06-03)Public health studies have collected significant amounts of data providing important insights into human health. The Norwegian Mother, Father, and Child Cohort Study (MoBa) is a pregnancy-based cohort study that captures ... -
Differentiating between malicious events and natural events in an Operational Technology (OT) environment
(Master thesis, 2024-06-03)