Abstract—Network Utility Maximization (NUM) is a well accepted theoretical concept that describes how congestion controls could cooperate to achieve an ideal sending rate allocation, for given utility functions of senders ...

Background Cisplatin-based chemotherapy (CBCT) is part of standard treatment of several cancers. In testicular cancer (TC) survivors, an increased risk of developing metabolic syndrome (MetS) is observed. ...

Ultrasound imaging for medical applications is considered a cost-effective and non-invasive method of studying the internal structures of the body. One application is to study muscles and muscle architecture. Muscle ...

Ontologies are a field within semantic technologies concerned with modeling knowledge of a domain through the use of well-defined concepts and relationships. Cyber threat intelligence (CTI) is a field within the domain of ...

Since the introduction of Electronic Machine-Readable Travel Documents (eMRTDs) the gap in security between eMRTDs and Machine-Readable Travel Documents (MRTDs) has been a cause for concern. In 2016, the International Civil ...

The Norwegian Welfare Administration (NAV) annually posts a large dataset of job announcements. Each announcement is classified with an occupation code, and today NAV performs this classification of announcements manually ...

With all the data available today the need to label and categorise data is more important than ever. There are many machine learning and deep learning models well equipped to classify data. However, to find the best model ...

In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data. However, within the field of ...

Monoplant is a prototype of an educational construction kit that provides teachers and secondary school students with hands-on experience on plant biology. We present the design rationale of Monoplant and report on its ...

The use of technology to address mental health among youth in Norway is gaining traction, with many measures being implemented from the public sphere. Literature claims that peer-support can help alleviate some of the ...

Empirical studies of information and communication technology (ICT) is often done by researchers who work closely with practitioners. Acquiring a role as an insider researcher gives the researcher performative knowledge ...

DHIS2 is a web application originally designed for collecting and aggregating statistical health data. DHIS2 is used in 60 different countries, each with its own implementation. In recent years there has been a shift towards ...

Equality is a fundamental concept in first-order reasoning, yet for connection based proof methods a notoriously challenging one to handle efficiently. While paramodulation is a popular technique for resolution and related ...

The Internet of Things is rising in popularity across many different domains, such as build automation, healthcare, electrical smart metering and physical security. Many prominent IT experts and companies like Gartner ...

I denne oppgaven studerte jeg en bedrift som hadde gjennomført et innføringsprogram (onboarding) der portugisiske utviklere skulle innlemmes i to eksisterende norske team. Det blir bare vanligere og vanligere innenfor ...

This work is part of the SUPRE (SUbcutaneous PREssure sensor system) research project with the goal of developing health services for patients with dysfunctional urinary bladders. The NANO group at UiO has previously ...

Data preprocessing is a crucial step in data analysis. For preparing data for analysis, different actions may need to be performed on a given dataset including formatting, modification, extraction and enrichment. Data ...

This thesis addresses the problem of finding a robust test suite for software testing by the use of mutation testing and machine learning. The goal is to find out a test suite that is immune to most of the mutants that can ...

This paper explores and conceptualises a phenomenon called platformization. The background is that the growing complexity of IT solutions is in many organizations costly and virtually impossible to adapt to changing ...

Single cell RNA-sequencing is an increasingly popular tool for investigating the variability in gene expression between individual cells. Compared to the previously wide spread methods such as bulk RNA-sequencing, the ...

This thesis explores strength exercising and learning of bodily skills as a field that can be augmented through introducing digital sensory artefacts, that aim to alter the way the performance is perceived. Using feedback ...

DDoS and DoS attacks have been growing in size and number over the last decade. Existing solutions employed to mitigate these attacks have proven to be inefficient in combating the problem. Compared to other types of malicious ...

Accessibility has become an important focus in software development; the goal is to allow as many people as possible, regardless of their capabilities, to use software. We have investigated the methods that software teams ...

Medical ultrasound (US) imaging is a non-invasive imaging modality. Smaller and cheaper US systems make US imaging available to more people, leading to a democratization of medical US imaging. The improvements of general ...

The latest technical and interaction advancements within the virtual reality (VR) field have marked a new era, not only for VR, but also for VR locomotion. In this era, well-established, prevalent VR locomotion techniques ...

The drum-like virtual reality (VR) keyboard is a contemporary, controller-based interface for text input in VR that uses a drum set metaphor. The controllers are used as sticks which, through downward movements, “press” ...

The Unified Parallel C (UPC) programming language offers parallelism via logically partitioned shared memory, which typically spans physically disjoint memory subsystems. One convenient feature of UPC is its ability to ...

Teknologiske framsteg har gjort det mulig å innhente store mengder medisinske bildedata, men manuell analyse av slike data tar stadig tid og er et hinder for effektiv behandling av store datamengder. Etter hvert som ...

One of the hallmarks of cancer is sustained angiogenesis. Favorable results have been reported in some breast cancer (BC) patients receiving antiangiogenic therapy with bevacizumab (Bev) in combination with chemotherapy, ...

This paper explores the use of multi-task learning (MTL) for incorporating external knowledge in neural models. Specifically, we show how MTL can enable a BiLSTM sentiment classifier to incorporate information from sentiment ...

This paper documents the creation of a large-scale dataset of evaluative sentences – i.e. both subjective and objective sentences that are found to be sentiment-bearing – based on mixed-domain professional reviews from ...

The adaptive immune system is a natural defense mechanism that is able to detect and neutralize pathogens. The key molecules involved in this are the immune receptors expressed by B and T cells, collectively named immune ...

A rich case study on the process of implementing generic software in the public health sector in India, which seeks to address the following research question: What constitutes the implementation-level design of generic ...

The digitization of newspapers has opened up new possibilities for user involvement, yet established practices in the media industry hinder news organisations from fully exploiting the many new opportunities that exist in ...

This paper is about creating digital musical instruments where a predictive neural network model is integrated into the interactive system. Rather than predicting symbolic music (e.g., MIDI notes), we suggest that predicting ...

Background: Stroke and coronary heart disease share the same risk factors, and a multifactorial intervention after stroke may potentially result in the same reduction in cardiovascular mortality as seen after coronary ...

With new technological advancements in various fields such as AI, renewable energy, automation, material research and 3D printing among others, enabling new designs of hardware that were previously unfeasible, complementing ...

This thesis is about the analysis of capacity levels around health information use based on a district-level case study from Nepal. Well capacitated workforce can make better use of Health Information System (HIS) and ...

In traditional networks, a dedicated piece of hardware is configured and installed for every single network function. A network function represents any hardware appliance in the network that has network-level functionality, ...

Managing dependencies between teams and within teams is critical when running large-scale agile projects. In large-scale software development, work is carried out simultaneously by many developers and development teams. ...

Smart technologies take different, constantly changing, and complex forms – from personal objects we act and perceive with to environments and infrastructures within which everyday practices and experiences take shape. As ...

Software testing is an integral part of software development that provides better-quality products and user experiences and helps build the reputation of software companies. Though software testers perform a role that ...

This master project presents research on the subject of indoor localization systems intended for the localization of humans. Based on this research, a system is proposed and implemented. The system is based on wireless ...

Interferometric synthetic aperture sonar (InSAS) produce bathymetric maps with large amounts of data. This introduces challenges in how the data should be stored and represented. The bathymetric maps are in raster format ...

The complexity of the nervous system has made computational science an invaluable tool in order to understand how the nervous system functions. The overarching goal of this thesis has been to develop software tools to ...

Named Data Networking (NDN) has built in congestion mechanisms, both in end-node applications and in the forwarding strategy in intermediate nodes. End-nodes may adjust sending rate. Intermediate nodes will rank each face ...

This thesis presents findings on how to facilitate a design process with people with Intellectual Disabilities (ID), utilizing already existing practices, and proxies’ knowledge in facilitating the inclusion of people with ...

Existing named entity recognition (NER) systems rely on large amounts of human-labeled data for supervision. However, obtaining large-scale annotated data is challenging particularly in specific domains like health-care, ...

The fast development of drones, miniaturization of broadband solid-state amplifiers, mixers, and software defined digital hardware increase the demand for compact RF and microwave systems at lower cost, light weight, easy ...

This thesis focuses on studying characteristics of Norwegian passwords as a means to find the best way of attacking them. This was done by using a password-cracking tool to attack offline copies of several password data ...

This paper describes a new intelligent interactive instrument, based on an embedded computing platform, where deep neural networks are applied to interactive music generation. Even though using neural networks for music ...

This thesis presents the first results for the Automated Essay Scoring (AES) task on the ASK corpus of Norwegian learner language. It explores a wide variety of classifier architectures, including linear models, simple ...

Combining HLA-DQ–gluten tetramers with mass cytometry and RNA sequencing analysis, we find that gluten-specific CD4+ T cells in the blood and intestines of patients with celiac disease display a surprisingly rare phenotype. ...

This thesis investigates the social and technical complexity during the implementation of collaborative ICT innovation in the health sector and how these complexities are dealt with in practice. To this end, I conducted ...

Introduction: Software companies aim to achieve continuous delivery to constantly provide value to their customers. A popular strategy is to use microservices architecture. However, such an architecture is also subject to ...

The main aim of the thesis is to use low-cost hardware components to create an environment-aware robot arm system capable of analysing its workspace using vision sensors and ensure collision-free operation. The objective ...

Deep learning based systems are on the rise as they have shown tremendous potential to extract concealed patterns through the data. Today Deep learning systems are surpassing human-level vision capabilities, which leads ...

Earlier studies have reported that there is a huge gap between customers and service providers in terms of the perceived quality of the service experience. This research addresses the delivery gap between service providers ...

Activation of endoplasmic reticulum (ER) stress/the unfolded protein response (UPR) has been linked to cancer, but the molecular mechanisms are poorly understood and there is a paucity of reagents to translate this for ...

Existing consumer VR systems support text input using handheld controllers in combination with virtual keyboards and many designers have attempted to build on these widely used techniques. However, information on current ...

The growth of compute-intensive applications causes an increasing demand for computing resources in both data centers and underlying networks. To satisfy these computing and networking demands, hardware-accelerated computing ...

Virtual Machine (VM) consolidation in the cloud has received huge research interest over the recent years. Usually, the consolidation strategies are variants of the bin packing problem, which aims to minimize the numbers ...

The impact of the tumor immune microenvironment on overall survival in non‐small cell lung cancer (NSCLC) has been studied, but there is little information on its relevance for risk of relapse after surgery. Understanding ...