Background Policymakers need regular high-quality coverage data on care around the time of birth to accelerate progress for ending preventable maternal and newborn deaths and stillbirths. With increasing ...

Cyberattacks have the realistic potential of causing serious harm to humans, their assets and business processes. Cybersecurity is aimed at detecting, blocking and mitigating such threats and cyber threat intelligence is ...

Electroencephalography (EEG) and magnetoencephalography (MEG) are among the most important techniques for non-invasively studying cognition and disease in the human brain. These signals are known to originate from cortical ...

Background Studies of shifts in microbial community composition has many applications. For studies at species or subspecies levels, the 16S amplicon sequencing lacks resolution and is often replaced by ...

Background With a motivation of quality assurance, machine learning techniques were trained to classify Norwegian radiology reports of paediatric CT examinations according to their description of abnormal ...

The proliferation of technologies like Internet of Things (IoT) and Industrial IoT (IIoT) has led to rapid growth in the number of connected devices and the volume of data associated with IoT applications. It is expected ...

Colonoscopy is considered the gold standard for detection of colorectal cancer and its precursors. Existing examination methods are, however, hampered by high overall miss-rate, and many abnormalities are left undetected. ...

Background This trial evaluates interventions that utilize data entered at point-of-care in the Palestinian maternal and child eRegistry to generate Quality Improvement Dashboards (QID) for healthcare ...

Background Machine learning involves strategies and algorithms that may assist bioinformatics analyses in terms of data mining and knowledge discovery. In several applications, viz. in Life Sciences, it is ...

Algorithmic decision-making is rapidly evolving as a source of data-driven competitive advantage with important implications for analytical practices in multiple settings. Despite the ambitions for algorithmic and intelligent ...

Abstract When recording neural activity from extracellular electrodes, both in vivo and in vitro , spike sorting is a required and very important processing step that allows for identification of single neurons’ activity. ...

Continuity of health care has in recent years received increased attention. To achieve ‘seamless’ care over time and across service providers, and to reducing redundancy related to duplicated information in parallel systems, ...

Obstructive sleep apnea (OSA) is a common, but severely under-diagnosed sleep disorder characterized by repeated periods of reduced or paused breathing during sleep. Polysomnography (PSG) is the gold standard for the ...

Background Advances in whole genome sequencing strategies have provided the opportunity for genomic and comparative genomic analysis of a vast variety of organisms. The analysis results are highly dependent on the quality ...

In this paper, we study the energy consumption of Narrowband IoT devices. The paper suggests that key to saving energy for NB-IoT devices is the usage of full Discontinuous Reception (DRX), including the use of connected-mode ...

With more and more people getting older and needing extra medical attention, robots may be a way of helping them live independently at home longer. Robots in the home, however, can gather lots of personal information about ...

Denne masteroppgaven er en studie av hvordan interaksjonsdesignere og utviklere forstår annerledeshet og design for ulike menneskers behov. Arbeidet plasserer seg under forskning på universell utforming i HCI-feltet, men ...

Background There is a need for validated clinical risk scores to identify patients at risk of severe disease and to guide decision-making during the covid-19 pandemic. The National Early Warning Score 2 (NEWS2) is widely ...

Surface electromyography (sEMG) provides an intuitive and non-invasive interface from which to control machines. However, preserving the myoelectric control system’s performance over multiple days is challenging, due to ...

We live in a society that is becoming increasingly digitized. Cloud computing is more popular than ever, and digital extensions appear everywhere. Over the past decade IoT and edge computing have emerged with smartwatches, ...

Ontology-based visual query systems enable users to construct ad-hoc queries in a way that is intuitive, and which allows them to receive feedback directly from the system interface. In this query construction setting, ...

Echocardiography is a key imaging modality to assess cardiac anatomy and function. In the past decade, high frame rate ultrasound imaging has emerged, and has allowed for studies of rapid phenomena that occur in the ...

This thesis explores the field of \emph{Affective Computing} and emotional intelligent machines, by implementing and investigating a specific approach for training emotional reinforcement learning agents, in the novel ...

Sixty years have passed since neurosurgeon Nils Lundberg presented his thesis about intracranial pressure (ICP) monitoring, which represents a milestone for its clinical introduction. Monitoring of ICP has since become a ...

Dynamic resource provisioning is an important driver for pay-on-demand cloud computing. Virtualized resources open for resource awareness, such that applications may use resource management strategies to modify their ...

Background Targeted client communication (TCC) using text messages can inform, motivate and remind pregnant and postpartum women of timely utilization of care. The mixed results of the effectiveness of TCC interventions ...

Design thinking has recently emerged as a powerful approach to innovation. Its ability to transform products, services, and organizations has been broadly discussed in the literature. However, how to implement the approach ...

With a global decline in fish stocks and a growing demand for seafood, there is a need for non-intrusive technological systems that can improve automatic data collection for conservation efforts and economic efficiency in ...

In today’s hypercompetitive market, companies are forced to be creative and innovate in order to survive. Digital technology has brought new possibilities for organisations as well as enabled thousands of start-ups to enter ...

Background Graph-based reference genomes have become popular as they allow read mapping and follow-up analyses in settings where the exact haplotypes underlying a high-throughput sequencing experiment are ...

Data governance is concerned with leveraging the potential value of data in data infrastructures. In IS research, data governance has developed as a management perspective, implying a narrow view of who makes decisions ...

Words of human languages change their meaning over time. This linguistic phenomenon is known as ‘diachronic semantic change’. Such shifts are of interest both for linguists and for NLP practitioners. One possible solution ...

Over the past decade, computational power has become more accessible, as hardware previously only found in research or military computers has become mainstream. These improvements have led to a vastly increased speed in ...

DNA methylation (5mC) and hydroxymethylation (5hmC) are chemical modifications of cytosine bases which play a crucial role in epigenetic gene regulation. However, cost, data complexity and unavailability of comprehensive ...

Most Internet hosts today support multiple access technologies and network interfaces. Multipath transport protocols, like MPTCP, are being deployed (e.g., in smartphones), allowing transparent simultaneous use of multiple ...

Occasionally, technologies combine to create an innovation that is more than just the sum of its parts---something that brings unique capabilities, opens up more use cases, and spurs the formation of new businesses. On all ...

Argument Mining consists of finding and extracting argument structures from natural language texts. In this thesis we investigate the task of Argument Mining for Norwegian, and introduce the first annotated dataset for ...

Network APIs are moving towards protocol agility, where applications express their needs but not a static protocol binding, and it is up to the layer below the API to choose a suitable protocol. The IETF Transport Services ...

We introduce a new model for evaluating privacy that builds on the criteria proposed by the EuroPriSe certification scheme by adding usability criteria. Our model is visually represented through a cube, called Usable Privacy ...

Ever since the agile manifesto was created in 2001, the research community has devoted attention to autonomous teams. This article first examines publications on autonomous agile teams to illustrate how the research has ...

In this paper, five Smart TVs were put to the test to see if vendors follow their own policies. A single case study was conducted, where each Smart TV was monitored to see how each TV communicates with its vendors and other ...

Current practice of assessing mood episodes in affective disorders largely depends on subjective observations combined with semi-structured clinical rating scales. Motor activity is an objective observation of the inner ...

Medical data is growing at an estimated 2.5 exabytes per year~\cite{GlobalInformation14}. However, medical data is often sparse and unavailable for the research community, and qualified medical personnel rarely have time ...

This thesis describes the implementation a translation layer over Ethernet for the new clean-slate network architecture Recursive Inter-Network Architecture (RINA). The implementation is made for the simulation model library ...

Spatial resolution is defined as a system's ability to separate targets using some kind of criterion, such as the Rayleigh criterion. However, in practice, lateral resolution is often evaluated by measuring the Full Width ...

A software product line (SPL) enables large-scale reuse in a family of related software systems through configurable features. SPLs represent a long-term investment so that their ongoing evolution becomes paramount and ...

The quality of a dataset used for evaluating data linking methods, techniques, and tools depends on the availability of a set of mappings, called reference alignment, that is known to be correct. In particular, it is crucial ...

Abstract Summary B- and T-cell receptor repertoires of the adaptive immune system have become a key target for diagnostics and therapeutics research. Consequently, there is a rapidly growing ...

The thesis is positioned at the cross of Human-Computer Interaction (HRI), Human-Robot Interaction (HRI), and Computer-Supported Cooperative Work (CSCW) fields, with Universal Design (UD) concepts and literature being ...

DevSecOps is the extension of DevOps with security aspects and tools throughout all the stages of the software development life cycle. DevOps has become a popular way of developing modern software, especially in the Internet ...

Access control is a security measure for restricting access to computer resources, especially in multi-user and data sharing settings. Attribute-based access control is a successor of the role-based access control that has ...

Internet of Things (IoT) is a new technology that is driving the connection of billions of devices around the world. Because these devices are often resource‐constrained and very heterogeneous, this presents unique challenges. ...

Following the highly pervasive and effective use of agile methods for software development, attention has now turned to the much more difficult challenge of applying these methods in large scale, organization-wide development. ...

Refactoring is the practice of changing code without altering its behavior. Rust is a language with an ownership model where lifetimes are statically resolved and it has macro support. In this thesis we develop algorithms ...

The structure and performance of neural networks are intimately connected, and by use of evolutionary algorithms, neural network structures optimally adapted to a given task can be explored. Guiding such neuroevolution ...

Predicting the future using deep learning is a research field of increasing interest. The majority of contributions concern architectural designs for predictive models, however, there is a lack of established evaluation ...

Remote Direct Memory Access (RDMA) is a data transmission technology featuring high bandwidth, low latency, and low computational overhead. RDMA can be used to transmit data between applications running on interconnected ...

Denne oppgaven tar for seg digital ledelse i digitaliseringen av en offentlig helseinformasjonsinfrastruktur. Litteraturen om informasjonsinfrastrukturer brukes som grunnlag for å forstå casen i studien. Det trekkes frem ...

Invasive monitoring of intracranial pressure (ICP) plays an essential role in diagnostics and surveillance of patients with brain injury and brain disease. While monitoring of mean ICP is a cornerstone of cerebrovascular ...

Denne oppgaven undersøker hvordan personer velger et digitalt verktøy, og hvordan design kan bidra til å forenkle denne valgprosessen. Oppgaven ser på eksisterende litteratur innenfor interaksjonsdesign, valgmønstre og ...

Background. A software product line is a set of software-intensive systems that share a common, managed set of features satisfying the specific needs of a particular market segment. The most considerable benefit of using ...

Background. A software product line is a set of software-intensive systems that share a common, managed set of features satisfying the specific needs of a particular market segment. The most considerable benefit of using ...

This thesis presents a two-part research process exploring how to visualize the air quality for young adults living in Oslo. Through a user-centered design process, we explore how technology can be used to visualize air ...

This thesis presents a two-part research process exploring how to visualize the air quality for young adults living in Oslo. Through a user centered design process, we explore how technology can be used to visualize air ...

Software design patterns are high-level design solutions to common occurring problems within software development. The topic of this study is the relationship between design patterns and modern programming languages, and ...

It is almost impossible to visit a website today that does not have tracking tools implemented. Either for the purpose of analytics or for advertising, data is being collected about us on virtually every website. This ...

This thesis investigates the application of the User Centered Design (UCD) methodology into the existing work practices of an organization that specializes in implementing generic software. Specifically, it focuses on the ...

Nettsteder blir en stadig viktigere forretningskanal for kommersielle selskap, og antall nettbrukere er sterkt økende. Med denne bakgrunnen har jeg undersøkt to problemstillinger: Hvilke krav bør stilles til IT-styringen ...

With the number of devices connected to the internet increasing rapidly, we have entered an immense computerized uprising of the Internet of Things (IoT) era. The popularity of IoT systems and devices makes the security ...

Abstract In this thesis I examine the development and implementation of the DHIS2 Online Academy Fundamentals course. The objective is to evaluate the course and answer these research questions: 1) Does the Online Fundamentals ...

The aim of this workshop is to address the role that human autonomy presently receives in HCI research and how “autonomous technologies” might challenge, rather than facilitate human autonomy. We acknowledge a need for new ...