• Apricot anatomy. Measures of pinbones in fish fillets using CT 

      Bakken, Marianne; Schulerud, Helene; Thielemann, Jens T (SINTEF Rapport;, Research report, 2012)
      The objectives of this project have been to provide detailed information about the size, orientation and location of pinbones in fillets of cod, haddock, saithe and salmon. For each spices 16 fillets were CT scanned and ...
    • Arbeidsinkludering. Med arbeidsgiverne på laget 

      Mandal, Roland; Midtgård, Trude Mariane; Mordal, Siri (SINTEF Digital rapporter;2019:0060, Research report, 2019)
      Rapporten presenterer resultatene fra forskningsprosjektet "Arbeidsinkludering - med arbeidsgiverne på laget", som SINTEF har utført med finansiering fra FoUseksjonen i Arbeids- og veiferdsdirektoratet. Målsettingen med ...
    • Are Daily Stand-up Meetings Valuable? A Survey of Developers in Software Teams 

      Stray, Viktoria; Moe, Nils Brede; Bergersen, Gunnar R. (Chapter, 2017)
      The daily stand-up meeting is a widely used practice. However, what is more uncertain is how valuable the practice is to team members. We invited professional developers of a programming forum to a survey and obtained 221 ...
    • Are Safe and Resilient Systems less Effective and Productive? 

      Stene, Trine Marie; Fjørtoft, Kay Endre (Chapter, 2020)
      During the last 50 years, people have become considerably more physical and virtually connected due to a more modern and mobile world, and new technologies for collaboration and communication, such as mobile phones, ...
    • Are there predilection sites for intracranial meningioma? A population-based atlas 

      Hosainey, Sayied Abdol Mohieb; Bouget, David; Reinertsen, Ingerid; Sagberg, Lisa Millgård; Torp, Sverre Helge; Jakola, Asgeir Store; Solheim, Ole (Peer reviewed; Journal article, 2021)
      Meningioma is the most common benign intracranial tumor and is believed to arise from arachnoid cap cells of arachnoid granulations. We sought to develop a population-based atlas from pre-treatment MRIs to explore the ...
    • ARKTRANS The multimodal ITS framework architecture Version 6 

      Natvig, Marit Kjøsnes; Westerheim, Hans; Moseng, Tor Kjetil; Vennesland, Audun (Research report, 2009)
      ARKTRANS is the Norwegian ITS framework architecture. ARKTRANS is multimodal. This means that the specifications are common to all transport modes (road, sea, rail and air). The specifications also are harmonised across ...
    • ARKTRANS. The Norwegian system framework architecture for multimodal transport systems supporting freight and passenger transport Version 5.0 

      Natvig, Marit Kjøsnes; Westerheim, Hans; Skylstad, Geir Frode; Haugset, Børge (Research report, 2006)
      The four transport modes, road, sea, air and railway, have identical needs and challenges with respect to freight and passenger transport related to the use of information and communication technology (ICT). They also see ...
    • Artificial Intelligence Advancements for Digitising Industry 

      Vermesan, Ovidiu; Reiner, John (Chapter, 2022)
      In the digital transformation era, when flexibility and know-how in manufacturing complex products become a critical competitive advantage, artificial intelligence (AI) is one of the technologies driving the digital ...
    • Artificial Intelligence for Well Integrity Monitoring Based on EM Data 

      Hosseini, Seyed Ehsan; Zonetti, Simone; Romdhane, Anouar; Dupuy, Bastien; Arntsen, Børge (SINTEF Proceedings;7, Chapter; Peer reviewed; Conference object, 2021)
      Monitoring of integrity of plugged and abandoned (P&A'ed) wells is of interest for the oil and gas industry and for CO2 storage. The purpose of this study is to develop artificial intelligence (AI)-based approaches to ...
    • Artificial Intelligence in the Public Sector: A Study of Challenges and Opportunities for Norwegian Municipalities 

      Mikalef, Patrick; Fjørtoft, Siw Olsen; Torvatn, Hans Yngvar (Journal article; Peer reviewed, 2019)
      The value of Artificial Intelligence (AI) in augmenting or even replacing human decision-making in the organizational context is gaining momentum in the last few years. A growing number of organizations are now experimenting ...
    • Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism 

      Djenouri, Youcef; Belhadi, Asma; Yazidi, Anis; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      In this paper, we present a novel paradigm for disease detection. We build an artificial intelligence based system where various biomedical data are retrieved from distributed and homogeneous sensors. We use different deep ...
    • As strong as the weakest link: Handling compromised components in OpenStack 

      Taheri Monfared, Aryan; JAATUN, Martin Gilje (Chapter, 2011)
      This paper presents an approach to handle compromised components in an Infrastructure-as-a-Service Cloud Computing platform. Our experiments show that traditional incident handling procedures are applicable for cloud ...
    • Aspects of routing problems in media product distribution 

      Hasle, Geir; Smedsrud, Morten (Lecture, 2010)
      Efficient construction and revision of delivery routes for newspapers and other media products is critical. We illustrate important aspects of routing problems in this industry. Typically, the goal is to optimize on several ...
    • Aspiration and altered airway anatomy: a presentation with a twist 

      Cullivan, Sarah; Langø, Thomas; Cantillon-Murphy, Pádraig; Kennedy, Marcus P (Journal article; Peer reviewed, 2018)
      A 60-year-old woman presented to our hospital with severe hypercapnic respiratory failure in the absence of a prior smoking history. She reported a 1-day history of increased dyspnoea and a cough productive of green sputum. ...
    • Assessing cyber threats for storyless systems 

      Meland, Per Håkon; Nesheim, Dag Atle; Bernsmed, Karin; Sindre, Guttorm (Peer reviewed; Journal article, 2021)
      A proper assessment of potential cyber threats is vital for security decision-making. This becomes an even more challenging task when dealing with new system designs and industry sectors where there is little or no historical ...
    • Assessing cyber threats for storyless systems 

      Meland, Per Håkon; Nesheim, Dag Atle; Bernsmed, Karin; Sindre, Guttorm (Peer reviewed; Journal article, 2021)
      A proper assessment of potential cyber threats is vital for security decision-making. This becomes an even more challenging task when dealing with new system designs and industry sectors where there is little or no historical ...
    • Assessing Strategic Priority Factors in eHealth Policies of Four African Countries 

      Larbi, Dillys; Anthun, Kirsti Sarheim; Asah, Flora Nah; Debrah, Oksana; Antypas, Konstantinos (Peer reviewed; Journal article, 2022)
      The use of electronic health systems is rapidly spreading in low- and middle-income countries (LLMICs). Empirical evidence shows that eHealth systems can improve access, quality, and equitable healthcare delivery, especially ...
    • Assessing the cumulative effect of long-term training load on the risk of injury in team sports 

      Bache-Mathiesen, Lena Kristin; Andersen, Thor Einar; Dalen-Lorentsen, Torstein; Clarsen, Benjamin Matthew; Fagerland, Morten (Peer reviewed; Journal article, 2022)
      Objectives: Determine how to assess the cumulative effect of training load on the risk of injury or health problems in team sports. Methods: First, we performed a simulation based on a Norwegian Premier League male ...
    • Assessing the feasibility of archetypal transition pathways towards carbon neutrality – A comparative analysis of European industries 

      Bauer, Fredric; Hansen, Teis; Nilsson, Lars J. (Peer reviewed; Journal article, 2022)
      Analyses of the future for manufacturing and heavy industries in a climate constrained world many times focus on technological innovations in the early stages of the value chain, assuming few significant changes are ...
    • Assessing the Implementation of AI Integrated CRM System for B2C Relationship Management: Integrating Contingency Theory and Dynamic Capability View Theory 

      Chatterjee, Sheshadri; Mikalef, Patrick; Khorana, Sangeeta; Kizgin, Hatice (Peer reviewed; Journal article, 2022)
      Customer relationship management (CRM) is a strategic approach to manage an organization’s interaction with current and potential customers. Artificial Intelligence (AI) can analyze huge volume of data without human ...