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    • Kunde-til-kunde gjenbrukstjenester i Norge. Status og markedspotensial 

      Lüders, Marika; Følstad, Asbjørn (SINTEF Rapport;, Research report, 2015)
      Denne rapporten oppsummerer resultatene fra surveyundersøkelsen som ble gjennomført i august 2015 for å undersøke status og markedspotensial for kunde-til-kunde gjenbrukstjenester i Norge. Surveyen er besvart av 807 ...

    • Kunnskapsgrunnlag for trøndersk landbruk. Verdiskaping og ringvirkninger av landbruksbasert næring i Trøndelag 

      Sand, Roald; Haugset, Anne Sigrid; Klimek, Patrycja; Knutsen, Heidi; Rye, Siv Karin Paulsen (SINTEF Rapport;2023:00601, Research report, 2023)
      Denne samarbeidsrapporten fra SINTEF og NIBIO viser status og utfordringer for økonomisk verdiskaping i landbruk og landbruksrelatert virksomhet i Trøndelag. Totalt ga landbruket grunnlag for 17,4 milliarder kroner i ...

    • Kunnskapsgrunnlag om bevisstgjøringsstrategier som skal motvirke rekruttering av ubevisste innsidere i norske virksomheter 

      Høiby, Marte; Fiskvik, Jannicke; Vatn, Dorthea Mathilde Kristin; Thaulow, Kristin (SINTEF Rapport;2022:01518, Research report, 2022)
      Formålet med dette kunnskapsgrunnlaget er å belyse temaet bevisstgjøringsstrategier knyttet til informasjonssikkerhet og innsiderrisiko. På bakgrunn av en gjennomgang av eksisterende relevant forskningslitteratur innen ...

    • Kunnskapsoversikt cyberkriminalitet 

      Meland, Per Håkon; Bjørge, Nina Møllerstuen; Høiby, Marte; Kilskar, Stine Skaufel (SINTEF Rapport;2023:01331, Research report, 2024)
      På oppdrag fra Justis- og beredskapsdepartementet har SINTEF gjennomført en systematisk litteraturstudie for å adressere forskningsspørsmål knyttet til begreps-definisjoner og hvordan man kan måle omfang av fenomenet ...

    • Kunnskapsoversikt om seksuelle overgrep mot barn og unge 

      Lassemo, Eva; Gunnes, Mari; Anthun, Kirsti Sarheim; Edvardsen, Oddbjørg; Ådnanes, Marian; Sand, Kari (SINTEF Rapport;2022:00618, Research report, 2022)
      Formålet med dette prosjektet har vært å utforme en kunnskapsoversikt om seksuelle overgrep mot barn og unge med særlig fokus på gjerningsperson, arena og offer sett i sammenheng. Systematiske søk ble gjennomført i utvalgte ...

    • Kunnskapsoversikt over norsk forskning med kjønns- og/eller likestillingsperspektiver 

      Lassemo, Eva; Karlstrøm, Henrik; Sand, Kari; Ose, Solveig Osborg (SINTEF Rapport;2021:00485, Research report, 2021)
      Formålet med dette prosjektet har vært å utforme en kunnskapsoversikt over norsk forskning med kjønns- og/eller likestillingsperspektiv. All tilgjengelig norsk forskning ble identifisert gjennom Cristin og institusjonelle ...

    • Large-Scale Agile Transformation: A Case Study of Transforming Business, Development and Operations 

      Moe, Nils Brede; Mikalsen, Marius (Peer reviewed; Journal article, 2020)
      Today, product development organizations are adopting agile methods in units outside the software development unit, such as in sales, market, legal, operations working with the customer. This broader adoption of agile ...

    • Largescale hydrogen production in Norway - possible transition pathways towards 2050 

      Damman, Sigrid; Sandberg, Eli; Rosenberg, Eva; Pisciella, Paolo; Johansen, Ulf (SINTEF Rapport;2020:00179, Research report, 2020)
      The report presents a case study where qualitative research framed within transition studies and the multi-level perspective (MLP) is used to discuss the role Norwegian hydrogen production may play in sustainable energy ...

    • Laststyring i primærreserven. Utvikling av et SOHz programmerbart frekvensrele 

      Aakvaag, Niels (SINTEF Rapport, Research report, 2018)
      Denne rapporten beskriver resultatene som er oppnådd i SUP prosjektet. Tekniske utførelse har vært gjort av SINTEF Digital, mens Enfo har bidratt med systemdesign, integrasjon og test. Prosjektet har levert et ferdig ...

    • Latest Results From 2nd SINTEF 3D-Run 

      Hansen, Thor-Erik; Kok, Angela; Hansen, Trond Andreas; Lietaer, Nicolas; Jensen, Geir Uri; Summanwar, Anand (Lecture, 2009)

    • Lean Construction Practices and its Effects: A Case Study at St Olav’s Integrated Hospital, Norway 

      Andersen, Bjørn; Belay, Alemu Moges; Seim, Eva Amdahl (Journal article; Peer reviewed, 2012)
      Question: Which practices made up the totality of the LC approach, and could any of these be considered innovative approaches not already documented in literature? Were there any noticeable effects from using LC in case ...

    • Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning 

      Hering, Alessa; Hansen, Lasse; Mok, Tony C. W.; Chung, Albert C. S.; Siebert, Hanna; Häger, Stephanie; Lange, Annkristin; Kuckertz, Sven; Heldmann, Stefan; Shao, Wei; Vesal, Sulaiman; Rusu, Mirabela; Sonn, Geoffrey; Estienne, Théo; Vakalopoulou, Maria; Han, Luyi; Huang, Yunzhi; Yap, Pew-Thian; Brudfors, Mikael; Balbastre, Yaël; Joutard, Samuel; Modat, Marc; Lifshitz, Gal; Raviv, Dan; Lv, Jinxin; Li, Quang; Jaouen, Vincent; Visvikis, Dimitris; Fourcade, Constance; Rubeaux, Mathieu; Pan, Wentao; Xu, Zhe; Jian, Bailiang; De Benetti, Francesca; Wodzinski, Marek; Gunnarsson, Niklas; Sjölund, Jens; Grzech, Daniel; Qiu, Huaqi; Li, Zeju; Thorley, Alexander; Duan, Jinming; Grossbröhmer, Christoph; Hoopes, Andrew; Reinertsen, Ingerid; Xiao, Yiming; Landman, Bennett; Huo, Yuankai; Murphy, Keelin; Lessmann, Nikolas; van Ginneken, Bram; Dalca, Adrian V.; Heinrich, Mattias P. (Peer reviewed; Journal article, 2022)
      Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medical image registration approaches on a ...

    • 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, ...

    • Learning Embedded in Structures: Facilitating Systems for Learning within Offshore Drilling Operations 

      Steiro, Trygve; Evjemo, Tor Erik (Peer reviewed; Journal article, 2021)
      Purpose: The current study examines the contribution of formalised planning to ensure success in drilling operations seen in the light of organizational learning theory. Methodology: The applied methodology is observational ...

    • Learning From Software Security Testing 

      Tøndel, Inger Anne; Jaatun, Martin Gilje; Jensen, Jostein (Chapter, 2008)
      Software security testing tools and methodologies are presently abundant, and the question no longer seems to be ``if to test'' for security, but rather ``where and when to test'' and ``then what?''. In this paper we present ...

    • Learning in the Large - An Exploratory Study of Retrospectives in Large-Scale Agile Development 

      Dingsøyr, Torgeir; Mikalsen, Marius; Solem, Anniken; Vestues, Kathrine (Chapter, 2018)
      Many see retrospectives as the most important practice of agile software development. Previous studies of retrospectives have focused on pro- cess and outcome at team level. In this article, we study how a large-scale agile ...

    • Learning Privacy Preferences 

      Tøndel, Inger Anne; Nyre, Åsmund Ahlmann; Bernsmed, Karin (Chapter, 2011)
      This paper suggests a machine learning approach to preference generation in the context of privacy agents. With this solution, users are relieved from the complex task of specifying their preferences beforehand, disconnected ...

    • Learning-based Robust Model Predictive Control for Sector-bounded Lur'e Systems 

      Seel, Katrine; Haring, Mark A. M.; Grøtli, Esten Ingar; Pettersen, Kristin Ytterstad; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2021)
      For dynamical systems with uncertainty, robust controllers can be designed by assuming that the uncertainty is bounded. The less we know about the uncertainty in the system, the more conservative the bound must be, which ...

    • LES and RANS simulation of onshore Bessaker wind farm: analyzing terrain and wake effects on wind farm performance 

      Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond (Journal article; Peer reviewed, 2015)
      This work compares the predictive performance of RANS and LES solver in capturing the effect of terrain and wakes on the performance of the Bessaker wind farm. This 25 turbine wind farm is located in a highly complex terrain ...

    • Lesbian and gay individuals' path into foster parenting in Norway—Barriers and facilitators at the person and system levels 

      Ådnanes, Marian; Thaulow, Kristin; Paulsen, Veronika; Kaasbøll, Jannike (Peer reviewed; Journal article, 2023)
      Growing numbers of lesbian, gay, bisexual, transgender, questioning (LGBTQ) people are becoming foster parents in several western countries. The LGBTQ perspective on the child welfare system has received little attention ...