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 ...

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, ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

This study investigates the use of a vespagram-based approach as a tool for multi-directional comparison between simulated microbarom soundscapes and infrasound data recorded at ground-based array stations. Data recorded ...

Anomaly-based intrusion detection methods aim to combat the increasing rate of zero-day attacks, however, their success is currently restricted to the detection of high-volume attacks using aggregated traffic features. ...

C-type lectin-like domain family 16 member A (CLEC16A) is associated with autoimmune disorders, including multiple sclerosis (MS), but its functional relevance is not completely understood. CLEC16A is expressed in several ...

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 ...

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 ...

In recent years, it has come to attention that governments have been doing mass surveillance of personal communications without the consent of the citizens. As a consequence of these revelations, developers have begun ...

Preference aggregation in Group Decision Making (GDM) is a substantial problem that has received a lot of research attention. Decision problems involving fuzzy preference relations constitute an important class within GDM. ...

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 ...

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 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 ...

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. ...

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 ...

Abstract Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology. The potential lies in improving anomaly detection while reducing manual labour. Existing ...

Robots operating in the real world will experience a range of different environments and tasks. It is essential for the robot to have the ability to adapt to its surroundings to work efficiently in changing conditions. ...

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. ...

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 ...

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 ...

The large variety of compute-heavy and data-driven applications accelerate the need for a distributed I/O solution that enables cost-effective scaling of resources between networked hosts. For example, in a cluster system, ...

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 ...

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 ...

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 ...

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 ...

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 ...

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, ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Automated essay scoring (AES) of student essays aims to train an AES model by applying machine learning (ML) techniques to predict grades on essays written by students in, i.e. a primary school setting. There are many ...

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 ...