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 ...

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 ...

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 ...

In the natural sciences, there are many examples of physical systems which can be modeled by differential equations, such as the flow of water through soil or the deformation of a bridge under load. By developing mathematical ...

Blending spline constructions are generated by blending local geometry using a smooth basis function. Compared with de facto industry standards used within CAGD, blending spline constructions are structurally complex. However, ...

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 The limited availability of clinical texts for Natural Language Processing purposes is hindering the progress of the field. This article investigates the use of synthetic data for the annotation ...

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 ...

Health Information Systems (HIS) supports data managers in making informed decisions to allocate scarce resources. However, the benefits of HIS implementations in developing countries have been notoriously difficult to ...

We propose a novel integration of programming languages with semantic technologies. We create a semantic reflection mechanism by a direct mapping from program states to RDF knowledge graphs. This mechanism enables several ...

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. ...

To memorize an experience, our brain is replaying associated sequences of neuronal activity in the hippocamus and associated regions. Since we remember only a fraction of our experiences, the brain must have a way to ...

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 ...

Today, Cyber-Physical Systems (CPSs) are increasingly becoming an essential part of our daily lives. To provide customizations, CPS producers opt for Product Line Engineering (PLE) methodologies and develop CPSs by integrating ...

In the development of computer-based systems, modelling is often advocated in addition to programming, in that it helps in reflecting the application domain and that it makes the design and experiment activities of development ...

Background: Using a microservices architecture is a popular strategy for software organizations to deliver value to their customers fast and continuously. However, scientific knowledge on how to manage architectural ...

This paper presents an analysis of a hundred and one handwritten essays by master students in Informatics. The students reflected on their experiences of working with pen and paper for reading and writing as a mandatory ...

Robots are traditionally bound by a fixed morphology during their operational lifetime, which is limited to adapting only their control strategies. Here we present the first quadrupedal robot that can morphologically adapt ...

This thesis compares several machine learning algorithms: identify which model would be best at classify the emotions happy and sad. This can be regarded as an initial step towards use of machine learning in personalized ...

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. ...

Parallel computations have become standard practice for simulating the complicated multi-phase flow in a petroleum reservoir. Increasingly sophisticated numerical techniques have been developed in this context. During the ...

This study investigates organizational strategies used to adapt to the digital innovation within the marketing industry, through an interpretative case study of a large Norwegian media agency, as part of a large Norwegian ...

In robot drumming, performing double stroke rolls is a key ability. Human drummers learn to play double strokes by just trying it several times. For performing it, a model needs to be learned to provide anticipatory commands ...

Modern multibeam echosounders (MBE) employ frequency-division techniques (FDT) to ensonify multiple sectors within the same ping cycle. This leads to improved performance in coverage rate, and yaw and pitch stabilization. ...

Contemporary energy research is becoming more interdisciplinary through the involvement of technical, economic, and social aspects that must be addressed simultaneously. Within such interdisciplinary energy research, the ...

Synthetic aperture sonar (SAS) is a technique for acoustic imaging and mapping of the seafloor. SAS systems are typically operated from autonomous underwater vehicles in a side-looking configuration. They can provide images ...

Instructions, as they appear in a program’s text, dictate the behavior of singlethreaded programs. Unfortunately, our single threaded intuition does not fully carry over to multi-threaded environments. If the environment ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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, ...

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, ...

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 ...

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 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 ...

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. ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

I denne masteroppgaven blir det presentert en beskrivelse av hvordan Kjernejournal systemet har blitt utviklet, implementert og tatt i bruk og hvordan komplekse nettverk med menneskelige og ikke-menneskelig aktører former ...

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 ...

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 ...

This thesis analysis the effects of software coding errors on cybersecurity by using static code analysis tools. Software coding errors can have different types of effect ́s on cybersecurity. The research is done from a ...

Denne masteroppgaven baserer seg på teori fra allerede kjente algoritmer, samt noen nye algoritmer for å finne primtall og primtallsørkener. En primtallsørken er avstanden fra et primtall til neste påfølgende primtall. For ...

This master thesis is an empirical investigation of learning with technology in an introductory design course at the University of Oslo and its students. The overarching goal of the thesis is to make design considerations ...

Quality information on vulnerable children is intrinsic for making evidence-based decisions at the macro, meso and micro level, impacting millions of children’s personal development. However, a contemporary lack of information ...

Smartphones are personal, handheld, mobile devices that are Internet-enabled and intended to be “always-on”. Unfortunately, the possibilities of a smartphone are limited when compared to a desktop/laptop computer. The web ...

Wireless Sensor Networks (WSNs) typically include thousands of resource-constrained sensors to monitor their surroundings, collect data, and transfer it to remote servers for further processing. Although WSNs are considered ...

With the advent of high-density multi-electrode arrays we are now able to measure the activity of hundreds of neurons simultaneously, even at the sub-cellular level. However, next-generation devices introduce novel grand ...

Designing robots by hand is often both costly and time consuming. In order to create robots automatically, without the need for human intervention, it is necessary to optimise both the behaviour and the body design of the ...