Efficient routing optimization yields benefits that extend beyond mere financial gains. In this thesis, we present a methodology that utilizes a graph convolutional neural network to facilitate the development of energy-efficient waste collection routes. Our approach focuses on a Waste company in Tromsø, Remiks, and uses real-life datasets, ensuring practicability and ease of implementation. In ...

Norway is anticipated to experience an energy deficit in the coming years, and one solution to address this issue is the implementation of new renewable energy sources. To mitigate the projected energy deficit, increased energy production is required. With its considerable wind potential, the country offers ample opportunities for wind energy development. Consequently, there is a growing demand for ...

Biometric and health related data collected through automated features in smartphones and wearables can provide researchers with valuable information about the population. This thesis explores the possibilities of extracting data from Apple and Samsung wearable devices like watches and smartphones where native built-in support for data extraction and third-party data storage is not available. Doing ...

Migraine is a recurrent headache disorder that afflicts significant portions of the global population. There is no current cure and migraines are mainly managed through symptomatic medical treatments and manual biofeedback routines. Automated data collection and prediction of migraine attacks through machine learning could be viable approaches for helping migraineurs and for reducing the impact of ...

In today's digital landscape where cloud-oriented approaches are widespread and an integral part, local-first software emerges to offer an alternative. It addresses concerns such as data control, privacy, offline capabilities, collaboration, and performance. The open-source relational database engine SQLite is a fitting candidate for local-first software as it is not reliant on network connectivity. ...

Background: Individuals with intellectual disabilities (ID) often face barriers when trying to engage in physical activity. Exergames, which combine physical exercise with gaming technology, have shown the potential to promote physical activity among this group of individuals. However, the suitability of exergames for individuals with ID from different cultural backgrounds has received ...

Despite the significant improvements that self-supervised representation learning has led to when learning from unlabeled data, no methods have been developed that explain what influences the learned representation. We address this need through our proposed approach, RELAX, which is the first approach for attribution-based explanations of representations. Our approach can also model the uncertainty ...

The role of the North Atlantic Treaty Organization and its influence on the peace and conflict dynamic in the Middle East has always been a discussed and controversial issue. While the United States and the countries of the NATO Southern flank are active in the discussions on NATO engagement in the region, the perspectives of NATO Eastern flank countries is often forgotten. This work contributes to ...

The addition of variable renewable energy sources into the electrical energy systems of the world has been increasing in recent years. This form of distributed energy production with high production volatility can introduce massive challenges in operating a lower voltage distribution network. One of these affected networks is on the island of Senja in northern Norway, with an eldering radial electrical ...

Increased and enhanced utilisation of remote sensing and robotics in the Arctic can further enhance cultural safety and well-being and reduce the risks posed to archaeologists, heritage workers and others in the field. In this preliminary scoping survey, the authors review the current use of these technologies and consider a range of related issues, from cultural safety to nefarious use by criminals. ...