Recent Submissions

  • Jobbobservasjon i VR. Et pilotprosjekt. 

    Fjørtoft, Siw Olsen; Petersen, Per Storrø; Nikolaisen, Linn Marita (SINTEF Rapport;2023:01058, Research report, 2023)
    Mange bransjer sliter med å rekruttere arbeidstakere. Det er gap mellom arbeidslivets behov og kompetansen som befolkningen besitter. Utdanningsvalg, arbeidstrening og informasjon om hvilke muligheter som finnes, er ...
  • Renewable energy and industrial development in pioneering and lagging regions: the offshore wind industry in Southern Denmark and Normandy 

    Jolly, Suyash; Steen, Markus; Hansen, Teis; Afewerki, Samson (Journal article; Peer reviewed, 2023)
    The increasing deployment of renewable energy (RE) hinges on the development and upscaling of manufacturing and logistics capacities, offering industrial development opportunities for regions and countries. In this paper, ...
  • Plastics in aquaculture: A circular economy guidebook 

    Lindberg, Helene Øyangen; Grytli, Tuva; Kubowicz, Stephan; Karl, Christian; Lund, Henrik Brynthe; Irgens, Mathias; Kenzhegaliyeva, Assiya (SINTEF rapporter;00797, Research report, 2023)
    This report presents 25 concepts for making plastics from aquaculture more circular. The concepts are based on industry initiatives, circular business models and management principles. Furthermore, the report describes ...
  • Information Security Aspects of Industrial Control Systems: An Introduction for ICS Integrators and Asset Owners, V1.0 

    Flå, Lars; Törn, Eric Martin; Skjersli, Knut Vidar; Haugli, Fredrik Bakkevig (Research report, 2023)
    With a more connected world, where someone can attack digital industries in distant countries with low risk and cost, cyber security is becoming increasingly important on a nation-wide level. Several recent attacks illustrate ...
  • Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation 

    Perez de Frutos, Javier; Pedersen, Andre; Pelanis, Egidijus; Bouget, David Nicolas Jean-Mar; Survarachakan, Shanmugapriya; Langø, Thomas; Elle, Ole Jakob; Lindseth, Frank (Peer reviewed; Journal article, 2023)
    Purpose: This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods: Different training strategies, loss functions, ...
  • Planning for Health Equity: How Municipal Strategic Documents and Project Plans Reflect Intentions Instructed by the Norwegian Public Health Act. 

    Lillefjell, Monica; Hope, Siren; Anthun, Kirsti Sarheim; Hermansen, Eirin; Vik, John Tore; Sund, Erik Reidar; Aasan, Bodil Elisabeth Valstad; Sylte, Mari; Maass, Ruca Elisa Katrin (Peer reviewed; Journal article, 2023)
    The Norwegian Public Health Act (PHA) mandates municipalities to integrate a systematic, knowledge-based, cross-sectoral approach aimed at levelling the social gradient in health. This study aimed to describe and analyse ...
  • Industrial Control Systems Security Checklist: A Guiding Document for Developing Secure Industrial Control Systems, V1.0 

    Flå, Lars; Törn, Eric Martin; Skjersli, Knut Vidar; Haugli, Fredrik Bakkevig (Research report, 2023)
    With a more connected world, where someone can attack digital industries in distant countries with low risk and cost, cyber security is becoming increasingly important on a nation-wide level. Several recent attacks illustrate ...
  • Customer journeys 

    Følstad, Asbjørn; Halvorsrud, Ragnhild (Others, 2023)
    The customer journey concept concerns the process of service provision from the customer perspective. Here, the service process is analyzed in terms of its concrete customer interactions, so called touchpoints, typically ...
  • Inferring feature importance with uncertainties with application to large genotype data 

    Johnsen, Pål Vegard; Strumke, Inga; Langaas, Mette; DeWan, Andrew Thomas; Riemer-Sørensen, Signe (Peer reviewed; Journal article, 2023)
    Estimating feature importance, which is the contribution of a prediction or several predictions due to a feature, is an essential aspect of explaining data-based models. Besides explaining the model itself, an equally ...
  • Å være ektefelle til samboende partner med demens 

    Hagen, Per Ivar; Eide, Arne Henning (Peer reviewed; Journal article, 2023)
    Background: Dementia is an increasing health problem with strong impact on affected individuals and their next-of-kin. Aim: To analyse the impact on next-of-kin co-ha biting with their spouse who is living with dementia. ...
  • Prediction of guidewire-induced aortic deformations during EVAR: a finite element and in vitro study 

    Emendi, Monica; Støverud, Karen-Helene; Tangen, Geir Arne; Ulsaker, Håvard; Manstad-Hulaas, Frode; Di Giovanni, Pierluigi; Dahl, Sigrid Kaarstad; Langø, Thomas; Prot, Victorien Emile (Peer reviewed; Journal article, 2023)
    Introduction and aims: During an Endovascular Aneurysm Repair (EVAR) procedure a stiff guidewire is inserted from the iliac arteries. This induces significant deformations on the vasculature, thus, affecting the pre-operative ...
  • A new statistical approach to training load and injury risk: separating the acute from the chronic load 

    Bache-Mathiesen, Lena Kristin; Andersen, Thor Einar; Dalen-Lorentsen, Torstein; Tabben, Montassar; Chamari, Karim; Clarsen, Benjamin Matthew; Fagerland, Morten (Peer reviewed; Journal article, 2023)
    The relationship between recent (acute) training load relative to long-term (chronic) training load may be associated with sports injury risk. We explored the potential for modelling acute and chronic loads separately to ...
  • Understanding digital platform evolution using compartmental models 

    Szalkowski, Gabriel Andy; Mikalef, Patrik (Peer reviewed; Journal article, 2023)
    Due to the growing impact of digital platforms, it is increasingly important to understand their evolution through mathematical models. As their value is dependent on their user base, we present an improved perspective on ...
  • An environmental disturbance observer framework for autonomous surface vessels 

    Menges, Daniel; Rasheed, Adil (Peer reviewed; Journal article, 2023)
    This paper proposes a robust disturbance observer framework for maritime autonomous surface vessels considering model and measurement uncertainties. The core contribution lies in a nonlinear disturbance observer, reconstructing ...
  • A Longitudinal Study of Self-Disclosure in Human-Chatbot Relationships 

    Skjuve, Marita; Følstad, Asbjørn; Brandtzæg, Petter Bae (Peer reviewed; Journal article, 2023)
    Self-disclosure in human–chatbot relationship (HCR) formation has attracted substantial interest. According to social penetration theory, self-disclosure varies in breadth and depth and is influenced by perceived rewards ...
  • Faster, broader, and deeper! Suggested directions for research on net-zero transitions 

    Andersen, Allan Dahl; Geels, Frank Willem; Coenen, Lars Martel Antoine; Hanson, Jens; Korsnes, Marius; Linnerud, Kristin; Mäkitie, Tuukka; Nordholm, Amber Joy; Ryghaug, Marianne; Skjølsvold, Tomas Moe; Steen, Markus; Wiebe, Kirsten Svenja (Peer reviewed; Journal article, 2023)
    The growing attention to the political goal of achieving net-zero emissions by mid-century reflects past failures to alter the trajectory of increasing greenhouse gas (GHG) emissions. As a consequence, the world now needs ...
  • Guideline for follow-up of Safety Instrumented Systems (SIS) in the operating phase 

    Håbrekke, Solfrid; Hauge, Stein; Lundteigen, Mary Ann (SINTEF Rapport;2023:00107, Research report, 2023)
    This guideline describes a best practise for follow-up of safety instrumented systems (SIS) during operation of a process facility. It covers management of functional safety, operation, maintenance, monitoring, and ...
  • On the Temporal Stability of People’s Annoyance with Road Traffic Noise 

    Gjestland, Truls Tormodsønn (Peer reviewed; Journal article, 2020)
    Sixty‐one social surveys on annoyance caused by road traffic noise conducted world‐wide over a period of forty‐five years have been re‐analyzed by various means for possible temporal trends. Eighteen of these surveys ...
  • Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines 

    Khan, Akif Quddus; Nikolov, Nikolay; Matskin, Minhail; Prodan, Radu; Roman, Dumitru; Sahin, Bekir; Bussler, Christoph; Soylu, Ahmet (Peer reviewed; Journal article, 2023)
    Big data pipelines are developed to process data characterized by one or more of the three big data features, commonly known as the three Vs (volume, velocity, and variety), through a series of steps (e.g., extract, ...
  • Race development and performance-determining factors in a mass-start cross-country skiing competition 

    Seeberg, Trine Margrethe; Kocbach, Jan Martin; Wolf, Hanna; Talsnes, Rune Kjøsen; Sandbakk, Øyvind Bucher (Peer reviewed; Journal article, 2023)
    Introduction: Although five of six Olympic events in cross-country skiing involve mass-starts, those events are sparsely examined scientifically. Therefore, in this study, we investigated speed profiles, pacing strategies, ...

View more