• 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 ...
    • Latent hardening and plastic anisotropy evolution in AA6060 aluminium alloy 

      Khadyko, Mikhail; Dumoulin, Stephane; Cailletaud, Georges; Hopperstad, Odd Sture (Peer reviewed; Journal article, 2016)
      The crystal plasticity theory predicts that hardening on a particular slip system and its corresponding work-hardening rate will depend on the slip activity on both this slip system and all others. The exact form of this ...
    • Latest Results From 2nd SINTEF 3D-Run 

      Hansen, Thor-Erik; Kok, Angela; Hansen, Trond Andreas; Lietaer, Nicolas; Jensen, Geir Uri; Summanwar, Anand (Lecture, 2009)
    • Lattice rotations in precipitate free zones in an Al-Mg-Si alloy 

      Christiansen, Emil; Marioara, Calin Daniel; Marthinsen, Knut; Hopperstad, Odd Sture; Holmestad, Randi (Peer reviewed; Journal article, 2018)
      Scanning precession electron diffraction and automated crystal orientation mapping in a transmission electron microscope (TEM) have been applied to quantitatively study the crystal orientation of precipitate free zones ...
    • Lattice thermal conductivity of half-Heuslers with density functional theory and machine learning: Enhancing predictivity by active sampling with principal component analysis 

      Tranås, Rasmus André; Løvvik, Ole Martin; Tomic, Oliver; Berland, Kristian (Peer reviewed; Journal article, 2021)
      Low lattice thermal conductivity is essential for high thermoelectric performance of a material. Lattice thermal conductivity is often computed using density functional theory (DFT), typically at a high computational cost. ...
    • Lave utslipp og høy lønnsomhet med riktige bygningsinstallasjoner 

      Holøs, Sverre Bjørn (Journal article, 2020)
      Med behovsstyrt ventilasjon og personlig oppvarming i nye kontorbygg kan man få lavere utslipp og mer fornøyde brukere, viser en studie fra Forskningssenter for nullutslippsområder i smarte byer (FME ZEN).
    • Layered microstructures based on BaZr0.85Y0.15O3−δ by pulsed laser deposition for metal-supported proton ceramic electrolyser cells 

      Stefan, Elena; Stange, Marit Synnøve Sæverud; Denonville, Christelle; Larring, Yngve; Hildenbrand, Nicolas; Norby, Truls Eivind; Haugsrud, Reidar (Peer reviewed; Journal article, 2017)
      Planar metal-supported cell designs provide cost-effective scaling-up of solid oxide fuel cells and electrolysers. Here, we report on the fabrication of a BaZr0.85Y0.15O3−δ–NiO (BZY15–NiO) composite electrode and ...
    • Leakage management: planning remote real time controlled pressure reduction in Oppegård municipality 

      Berardi, Luigi; Laucelli, Daniele; Ugarelli, Rita Maria; Giustolisi, Orazio (Conference object; Journal article; Peer reviewed, 2015)
    • Leakage management: WDNetXL Pressure Control Module 

      Giustolisi, Orazio; Campisano, Alberto; Ugarelli, Rita Maria; Laucelli, Daniele; Berardi, Luigi (Journal article; Peer reviewed, 2015)
    • Leakages Through Radial Cracks in Cement Sheaths: Effect of Geometry, Viscosity, and Aperture 

      Skorpa, Ragnhild; Vrålstad, Torbjørn (Peer reviewed; Journal article, 2022)
      Annular cement sheath is considered to be one of the most important barrier elements in the well, both during production and after well abandonment. It is however well-known that mechanical damage to the cement sheath might ...
    • 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 and energy-efficient renovation of residential buildings – The user perspective 

      Ekambaram, Anandasivakumar; Gorantonaki, Evgenia; von der Leyen, Bjørn (Chapter; Peer reviewed; Conference object, 2022)
      Renovation of residential buildings has gained more attention in recent years. There are several challenges connected to energy efficient renovation of existing buildings. European Commission acknowledges the challenges ...
    • Learning by doing: Public and private search for quick delivery and sustainability in building projects 

      Økland, Andreas; Johansen, Agnar; Tufto, Eli; Kylling, Iver-Erik (Journal article; Peer reviewed, 2017)
      Quick project delivery makes socio-economic sense as value can be delivered sooner. We investigate two approaches to achieving this; the modular super cube-concept for school buildings and conventional building conducted ...
    • 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 ...