Blar i NORCE Energi og teknologi på tittel

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    • Adaptiv læring i matematikk: empirisk rapport om Multi Smart Øving i grunnskolen 

      Egelandsdal, Kjetil; Smith, Maria; Hansen, Cecilie Johanne Slokvik; Ness, Ingunn Johanne; Wasson, Barbara (Research report, 2019)

    • Adaptive Elements in Internet-Delivered Psychological Treatment Systems: Systematic Review 

      Mukhiya, Suresh Kumar; Wake, Jo Dugstad; Inal, Yavuz; Pun, Ka I; Lamo, Yngve (Journal article; Peer reviewed, 2020)
      Background: Internet-delivered psychological treatments (IDPTs) are built on evidence-based psychological treatment models, such as cognitive behavioral therapy, and are adjusted for internet use. The use of internet ...

    • Adaptive Systems for Internet-Delivered Psychological Treatments 

      Mukhiya, Suresh Kumar; Wake, Jo Dugstad; Inal, Yavuz; Lamo, Yngve (Peer reviewed; Journal article, 2020)
      Internet-Delivered Psychological Treatments (IDPT) are based on evidence-based psychological treatment models adjusted for interaction through the Internet. The use of Internet technologies has the potential to increase ...

    • Advancing Deep Learning to Improve Upstream Petroleum Monitoring 

      Heghedus, Cristina Viorica; Shchipanov, Anton; Chunming, Rong (Peer reviewed; Journal article, 2019)
      Data analytics is rapidly growing field in both academia and industry dealing with processing and interpreting large and complex data sets. It has got already many successful applications via advancing machine (ML) and ...

    • An Upscaled Model for Permeable Biofilm in a Thin Channel and Tube 

      Marban, David Landa; Bødtker, Gunhild; Kumar, Kundan; Pop, Iuliu Sorin; Radu, Adrian Florin (Peer reviewed; Journal article, 2020)
      In this paper, we derive upscaled equations for modeling biofilm growth in porous media. The resulting macroscale mathematical models consider permeable multi-species biofilm including water flow, transport, detachment and ...

    • Analyse av Sentinel-1 data til deteksjon og varsling av kvikkleireskredet på Gjerdrum 

      Malnes, Eirik; Eckerstorfer, Markus (Research report, 2022)
      Denne rapporten gir en oversikt over arbeidet gjort i prosjektet «Analyse av Sentinel-1 data i forkant av kvikkleireskredet på Gjerdrum». Prosjektets formål var å undersøke om backscatter data fra Sentinel-1 satellittene ...

    • Arctic sea ice mass balance in a new coupled ice–ocean model using a brittle rheology framework 

      Boutin, Guillaume; Olason, Einar; Rampal, Pierre; Regan, Heather; Lique, Camille; Talandier, Claude; Brodeau, Laurent; Ricker, Robert (Peer reviewed; Journal article, 2023)
      Sea ice is a key component of the Earth's climate system as it modulates the energy exchanges and associated feedback processes at the air–sea interface in polar regions. These exchanges have been suggested to strongly ...

    • Arctic UAS study: Arctic threats to safe design of Unmanned Aerial Systems 

      Håheim-Saers, Nils (Research report, 2022)
      Unmanned Aerial Vehicles (UAV’s) as they are designed today are vulnerable for arctic conditions. Both the UAV industry and the UAV operators need more knowledge about how safe design can be implemented for UAV’s with ...

    • Assessment of calibrated Sentinel-1 OCN RVL products 

      Johnsen, Harald (Research report, 2022)
      The accuracy and precision of the calibrated DC frequency of S1 WV and IW acquisitions are assessed using data acquired over both land and ocean areas. Data from the period of 1st of May 2019 until 30th of April 2020 are ...

    • Assimilation of multiple linearly dependent data vectors 

      Mannseth, Trond (Peer reviewed; Journal article, 2019)
      Assimilation of a sequence of linearly dependent data vectors, {dl}Ll=1 such that dl=BldLL−1l=1 , is considered for a parameter estimation problem. Such a data sequence can occur, for example, in the context of multilevel ...

    • Attention integrated hierarchical networks for no-reference image quality assessment 

      You, Junyong; Korhonen, Jari (Peer reviewed; Journal article, 2022)
      Quality assessment of natural images is influenced by perceptual mechanisms, e.g., attention and contrast sensitivity, and quality perception can be generated in a hierarchical process. This paper proposes an architecture ...

    • Automated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine 

      Kandukuri, Surya Teja; Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Noori, Nadia; Schlanbusch, Rune (Journal article; Peer reviewed, 2021)
      Seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod movement. Therefore, regular inspection of seals is required using automated approaches to improve productivity and to reduce ...

    • Automated segmentation of endometrial cancer on MR images using deep learning 

      Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S (Peer reviewed; Journal article, 2021)
      Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ...

    • Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera 

      Risholm, Petter; Mohammed, Ahmed Kedir; Kirkhus, Trine; Clausen, Sigmund; Vasilyev, Leonid; Folkedal, Ole; Johnsen, Øistein; Haugholt, Karl Henrik; Thielemann, Jens T (Peer reviewed; Journal article, 2022)
      Camera estimation of fish size in aquaculture production and fisheries is crucial for enabling knowledge-based decision making. Automatic estimation of fish lengths on an individual and population basis are key steps to ...

    • Automatic Measurement of the Dependence on Pressure and Temperature of the Mass Density of Drilling Fluids 

      Cayeux, Eric (Peer reviewed; Journal article, 2022)
      Drilling fluids are subject to substantial variations in pressure and temperature while they are circulated in a well. These changes are so great that the mass density of the drilling fluid varies significantly during ...

    • Autonomous Decision-Making While Drilling 

      Cayeux, Eric; Daireaux, Benoit; Ambrus, Adrian; Mihai, Rodica G.; Carlsen, Liv (Journal article; Peer reviewed, 2021)
      The drilling process is complex because unexpected situations may occur at any time. Furthermore, the drilling system is extremely long and slender, therefore prone to vibrations and often being dominated by long transient ...

    • Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project 

      Camus, Lionel; Andrade, Hector; Aniceto, Ana Sofia; Aune, Magnus; Bandara, Kanchana; Basedow, Sünnje Linnéa; Christensen, Kai Håkon; Cook, Jeremy; Daase, Malin; Dunlop, Katherine Mary; Falk-Petersen, Stig; fietzek, Peter; Fonnes, Gro; Ghaffari, Peygham; Gramvik, Geir; Graves, Inger; Hayes, Daniel; Langeland, Tom; Lura, Harald; Marin, Trond Kristiansen; Nøst, Ole Anders; Peddie, David; Pederick, Joel; Pedersen, Geir; Sperrevik, Ann Kristin; Sørensen, Kai; Tassara, Luca; Tjøstheim, Sigurd; Tverberg, Vigdis; Dahle, Salve (Journal article; Peer reviewed, 2021)
      Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, ...

    • Autonomous unmanned aerial vehicles in search and rescue missions using real-time cooperative model predictive control 

      de Alcantara Andrade, Fabio Augusto; Hovenburg, Anthony Reinier; Netto de Lima, Luciano; Dahlin Rodin, Christopher; Johansen, Tor Arne; Storvold, Rune; Moraes Correia, Carlos Alberto; Barreto Haddad, Diego (Peer reviewed; Journal article, 2019)
      Unmanned Aerial Vehicles (UAVs) have recently been used in a wide variety of applications due to their versatility, reduced cost, rapid deployment, among other advantages. Search and Rescue (SAR) is one of the most prominent ...

    • Bayesian model evaluation for multiple scenarios 

      Aanonsen, Sigurd Ivar; Fossum, Kristian; Mannseth, Trond (Peer reviewed; Journal article, 2023)
      Traditional uncertainty analysis for subsurface models is typically based on a single dynamic model with a number of uncertain parameters. Improved and more robust forecasting can be obtained by combining several models ...

    • Best practices for developing a human centered monitoring system for CO2 storage projects through a collaborative and interdisciplinary research approach 

      Sprenkeling, Marit; Otto, Danny; Nordø, Åsta Dyrnes; Karytas, Spyros; Mendrinos, Dimitrios; Polyzou, Olympia (DigiMon ACT2 (NORCE);D3.5, Research report, 2022)
      This deliverable was created in the context of the European ACT II project DigiMon and is part of work package 3 (designing a human-centered monitoring system), task 3.3 (evaluation of the research process and writing best ...