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 ...

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 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 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 ...

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 ...

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 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 ...

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 ...

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 ...

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 ...

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, ...

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 ...

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 ...

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 ...

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. ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

THIS STUDY REPORTS ON AN EXPERIMENT THAT tested whether drummers systematically manipulated not only onset but also duration and/or intensity of strokes in order to achieve different timing styles. Twenty-two professional ...

Background: As the industry of software engineering often requires the employees to work in a team setting using agile methods, it is important to teach bachelor students of software engineering these skills. Courses that ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Design patterns in software engineering is a useful concept for developers to solve a software design problem in a specific context. With the advent of mobile devices and mobile application development, the demand for ...

Data is underdetermined when there are variables whose values are unknown and the legal instantiations of these variables depend on given factors and the corresponding domain knowledge. The problem of instantiating the ...

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 ...

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 ...

The number of services that connect to the Internet is steadily increasing. Applications integrate with each other more than ever before. As such, the possible attack surface of a given entity is ever increasing as well. ...

The heavy workload at highly busy health facilities in the rural and semi-rural areas in Malawi makes the regular work routines extra hard for the health workers. Many of those areas use fully paper-based systems that ...

Denne masteroppgaven undersøker hvordan vi som designere kan støtte opp om unge voksne sin vedlikeholds- og reparasjonspraksis for en mer bærekraftig livsstil, ved å kartlegge utfordringer og muligheter knyttet til tematikken ...

The study focuses on fragmented information awareness as a result of the cross-use of Digital Learning Environments (DLEs), rather than focusing on the use of individual Learning Management Systems (LMSs). This study goes ...

Background: In precision cancer medicine, the challenge is to prioritize DNA driver events, account for resistance markers, and procure sufficient information for treatment that maintains patient safety. The MetAction ...

Accurate knowledge of the seabed is of vital importance for many human endeavors. Applications range from safe navigation to climate change models. Swath sonars are a key tool for efficient and high-resolution mapping of ...