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Datalog with External Machine Learning Functions for Automated Cloud Resource Configuration
(Peer reviewed; Journal article, 2023)Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges. In that context, distributed computing solutions such as cloud systems are ... -
A dataset for predicting cloud cover over Europe
(Peer reviewed; Journal article, 2024)Clouds are important factors when projecting future climate. Unfortunately, future cloud fractional cover (the portion of the sky covered by clouds) is associated with significant uncertainty, making climate projections ... -
Dataset of mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: Stiffness, deformation, resistance to freezing and stripping
(Data in Brief;Volume 46, February 2023, 108781, Peer reviewed; Journal article, 2022-12-05)The dataset derives from a thorough laboratory characterization of all existing stabilization technologies suitable for coarse-graded aggregates. They include two traditional binders (based on cement and bitumen) and eleven ... -
Dataset regarding the mechanical properties of roads unbound treated with synthetic fluid based on isoalkane and tall oil
(Data in Brief;Volume 40, February 2022, 107758, Peer reviewed; Journal article, 2021-12-27)The dataset revolves around the laboratory testing of an innovative additive technology for possible stabilization of unbound courses in road pavements. The product is a synthetic fluid based on isoalkane and tall oil ... -
A de novo Full-Length mRNA Transcriptome Generated From Hybrid-Corrected PacBio Long-Reads Improves the Transcript Annotation and Identifies Thousands of Novel Splice Variants in Atlantic Salmon
(Frontiers in Genetics;April 2021 | Volume 12 | Article 656334, Peer reviewed; Journal article, 2021-04-27)Atlantic salmon (Salmo salar) is a major species produced in world aquaculture and an important vertebrate model organism for studying the process of rediploidization following whole genome duplication events (Ss4R, 80 ... -
Dealing With Covid-19 in Casual Democracies
(Peer reviewed; Journal article, 2023)This article reports findings from an in‐depth, autoethnographic study of local communities in Denmark and England left behind by local journalism. The study was conducted during—and is thematically framed by—the Covid‐19 ... -
Decompression with or without Fusion in Degenerative Lumbar Spondylolisthesis
(New England Journal of Medicine;Vol. 385, No. 6, Peer reviewed; Journal article, 2021-08-05)Background: In patients with lumbar spinal stenosis and degenerative spondylolisthesis, it is uncertain whether decompression surgery alone is noninferior to decompression with instrumented fusion. Methods: We conducted ... -
Dedication to work: social workers in a Norwegian activation work context
(Peer reviewed; Journal article, 2022-04-20)Dedication to work is about enthusiasm for the job and feelings of pride and inspiration from one’s work, which is important due to its influence on work performance. We have surveyed dedication to work among 1347 trained ... -
A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering
(Peer reviewed; Journal article, 2023)An important part of diagnostics is to gain insight into properties that characterize a disease. Machine learning has been used for this purpose, for instance, to identify biomarkers in genomics. However, when patient ... -
A Deep Learning Approach To Dead-Reckoning Navigation For Autonomous Underwater Vehicles With Limited Sensor Payloads
(OCEANS;OCEANS 2021: San Diego – Porto, Conference object, 2022)This paper presents a deep learning approach to aid dead-reckoning (DR) navigation using a limited sensor suite. A Recurrent Neural Network (RNN) was developed to predict the relative horizontal velocities of an Autonomous ... -
Deep Learning for Classifying Physical Activities from Accelerometer Data
(Sensors;Volume 21 / Issue 16, Peer reviewed; Journal article, 2021-08-18)Physical inactivity increases the risk of many adverse health conditions, including the world’s major non-communicable diseases, such as coronary heart disease, type 2 diabetes, and breast and colon cancers, shortening ... -
A deep learning-based tool for automatic brain extraction from functional magnetic resonance images of rodents
(Peer reviewed; Journal article, 2021)Removing skull artifacts from functional magnetic images (fMRI) is a well understood and frequently encountered problem. Because the fMRI field has grown mostly due to human studies, many new tools were developed to handle ... -
Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources
(Sensors;Volume 22 / Issue 7, Peer reviewed; Journal article, 2022-04-06)Many data related problems involve handling multiple data streams of different types at the same time. These problems are both complex and challenging, and researchers often end up using only one modality or combining them ... -
DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine
(Scientific Reports;11, Article number: 21896 (2021), Peer reviewed; Journal article, 2021-11-09)Recent global developments underscore the prominent role big data have in modern medical science. But privacy issues constitute a prevalent problem for collecting and sharing data between researchers. However, synthetic ... -
Deepfakes: current and future trends
(Peer reviewed; Journal article, 2024)Advances in Deep Learning (DL), Big Data and image processing have facilitated online disinformation spreading through Deepfakes. This entails severe threats including public opinion manipulation, geopolitical tensions, ... -
DeepNAVI: A deep learning based smartphone navigation assistant for people with visual impairments
(Expert Systems With Applications;, Peer reviewed; Journal article, 2022)Navigation assistance is an active research area, where one aim is to foster independent living for people with vision impairments. Despite the fact that many navigation assistants use advanced technologies and methods, ... -
Defining the limitations and opportunities in the consultation with the Sámi: The cases of the Arctic Railway and the Davvi Vindpark
(The Arctic Yearbook;2021 -Defining and Mapping the Arctic, Peer reviewed; Journal article, 2021)The results of this study point to a number of limitations in the consultation with the Sámi, such as incomplete information, lack of transparency and the failure of governments to build relationships based on trust with ... -
Definitions and measurement of health literacy in health and medicine research: A systematic review
(BMJ Open;Volume 12, Issue 2, Peer reviewed; Journal article, 2022)Objectives: The way health literacy is understood (conceptualised) should be closely linked to how it is measured (operationalised). This study aimed to gain insights into how health literacy is defined and measured in ... -
Degree completion among students with an immigrant background in short-cycle welfare-oriented professional education
(Peer reviewed; Journal article, 2023)This article examines degree completion among students with an immigrant background who enrolled in professional bachelor’s degree programmes in early childhood or teacher education, nursing, or social work. By using the ... -
Degree completion in short professional courses: does family background matter?
(Peer reviewed; Journal article, 2021)Many studies have found a greater risk of dropping out among students from modest social origins compared to those from families characterised by high levels of education. This paper investigates social differences in ...