• Seasonal, diurnal and individual variation in Atlantic salmon (Salmo salar L.) swimming depth in commercial-scale sea cages 

  Ulvund, John Birger; Tvete, Ingunn Fride; Aldrin, Magne Tommy; Alfredsen, Jo Arve; Urke, Henning Andre; Kristensen, Torstein; Jansen, Peder A (Journal article; Peer reviewed, 2024)

  Atlantic salmon aquaculture may benefit from improved tools for behavioural monitoring and data-derived models that predict behaviour in commercial scale production cages. In the present study, timeseries depth registrations ...

• Strategi- og samarbeidslæring; utprøving og spredning. Evaluering av et samarbeidsprosjekt 

  Solheim, Ivar (NR-notat;, Research report, 2006)

• A Survey of State of the Art in Public Key Infrastructure 

  Mazaher, Shahrzade; Røe, Per (Report at the Norwegian Computing Center;, Research report, 2003)

• IKT for et inkluderende arbeidsliv: Resultater fra test og evaluering av to IKT-verkøy 

  Fuglerud, Kristin Skeide (Report at the Norwegian Computing Center;, Research report, 2005)

• A Review of Gaussian random fields and correlation functions - Second edition 

  Abrahamsen, Petter (Report at the Norwegian Computing Center;, Research report, 1997)

• INF5780 Compendium Autumn 2015: Open Source, Open Collaboration and Innovation 

  Groven, Arne-Kristian; Tsiavos, Prodromos; Heggestøyl, Simen; Rødskog, Daniel (NR-notat;, Research report, 2015)

  This document is the compendium for the course INF5780: Open source, open collaboration and innovation at the Department of Informatics, University of Oslo, written for the autumn semester of 2015. This multi-disciplinary ...

• Drone and ground-truth data collection, image annotation and machine learning: A protocol for coastal habitat mapping and classification 

  Kvile, Kristina Øie; Gundersen, Hege; Poulsen, Robert Nøddebo; Sample, James Edward; Salberg, Arnt Børre; Ghareeb, Medyan Esam; Buls, Toms; Bekkby, Trine; Hancke, Kasper (Peer reviewed; Journal article, 2024)

  Aerial drone imaging is an efficient tool for mapping and monitoring of coastal habitats at high spatial and temporal resolution. Specifically, drone imaging allows for time- and cost-efficient mapping covering larger areas ...

• Modeling geographic vaccination strategies for COVID-19 in Norway 

  Chan, Yat Hin; Rø, Gunnar; Midtbø, Jørgen E.; Di Ruscio, Francesco; Watle, Sara Sofie Viksmoen; Juvet, Lene Kristine; Littmann, Jasper; Aavitsland, Preben; Nygård, Karin Maria; Berg, Are Stuwitz; Bukholm, Geir; Kristoffersen, Anja Bråthen; Engø-Monsen, Kenth; Engebretsen, Solveig; Swanson, David Michael; Diz-Lois Palomares, Alfonso; Lindstrøm, Jonas Christoffer; Frigessi, Arnoldo; De Blasio, Birgitte Freiesleben (Journal article; Peer reviewed, 2024-01-31)

  Vaccination was a key intervention in controlling the COVID-19 pandemic globally. In early 2021, Norway faced significant regional variations in COVID-19 incidence and prevalence, with large differences in population ...

• Advice on fishing opportunities for Northeast Arctic cod in 2025 in ICES subareas 1 and 2 

  Howell, Daniel; Nielsen, Anders; Stock, Brian; Kotaro, Ono; Clain, Laura; Fossheim, Maria; Wenneck, Thomas de Lange; Harbitz, Alf; Perez-Rodriguez, Alfonso; Iriondo, Ane; Staby, Arved; Bogstad, Bjarte; Husson, Berengere; Marshall, C. Tara; Tranang, Caroline Aas; Johannesen, Edda; Vozgirdas, Eduardas; Eriksen, Elena; Eidset, Elise; Hallfredsson, Elvar Halldor; Berg, Erik; Skaret, Georg; Höffle, Hannes; Jacobsen, Jan Arge; Stiansen, Jan Erik; Godiksen, Jane Aanestad; Fall, Johanna Jennifer Elisabeth; Trochta, John Tyler; Gondra, Jon Ruiz; Sanchez, José Miguel Casas; Nedreaas, Kjell Harald; Trella, Kordian; Windsland, Kristin; Aune, Magnus; Bernreuther, Matthias; Vihtakari, Mikko; Breivik, Olav Nikolai; Alpoim, Ricardo; Tallman, Ross; Subbey, Samuel; Seim, Silje Elisabeth; Gundersen, Sofie; Hølleland, Sondre Nedreås; Karlson, Stine; Vollen, Tone (IMR/PINRO Joint Report Series;, Research report, 2024)

• CybAlliance WP4 Annual Progress Report 2024 

  Roufaida, Laidi; Ilangko, Balasingham; Pirbhulal, Sandeep (Report, 2024)

  This report presents the progress and achievements of Work Package WP4, encompassing three primary components: Experience Sharing (WP.4.1), Project Proposal Ideas (WP.4.2), and Joint Publications (WP.4.3). Significant ...

• Advice on fishing opportunities for beaked redfish in 2025 and 2026 in ICES subareas 1 and 2 

  Howell, Daniel; Nielsen, Anders; Stock, Brian; Ono, Kotaro; Clain, Laura; Fossheim, Maria; Wenneck, Thomas de Lange; Harbitz, Alf; Perez-Rodriguez, Alfonso; Iriondo, Ane; Staby, Arved; Bogstad, Bjarte; Husson, Berengere; Marshall, C. Tara; Tranang, Caroline Aas; Johannesen, Edda; Vozgirdas, Eduardas; Eriksen, Elena; Eidset, Elise; Hallfredsson, Elvar H.; Berg, Erik; Skaret, Georg; Höffle, Hannes; Jacobsen, Jan Arge; Stiansen, Jan Erik; Godiksen, Jane Aanestad; Fall, Johanna Jennifer Elisabeth; Trochta, John Tyler; Gondra, Jon Ruiz; Sanchez, José Miguel Casas; Nedreaas, Kjell Harald; Trella, Kordian; Windsland, Kristin; Aune, Magnus; Bernreuther, Matthias; Vihtakari, Mikko; Breivik, Olav Nikolai; Alpoim, Ricardo; Tallman, Ross; Subbey, Samuel; Seim, Silje Elisabeth; Gundersen, Sofie; Hølleland, Sondre Nedreås; Karlson, Stine; Vollen, Tone (IMR/PINRO Joint Report Series;, Research report, 2024)

• SIMULA 67. Common Base Language 

  Dahl, Ole-Johan; Myhrhaug, Bjørn; Nygaard, Kristen (Report at the Norwegian Computing Center;, Research report, 1984)

  This document contains the definition of the programming language SIMULA 76, excluding the Algol language. The language definition is supervized by the SIMULA Standards Group. This document is a revised version of the ...

• User's experience with the Simula language 

  Hegna, Håvard; Lund, Ole Johan; Nygaard, Kristen (Report at the Norwegian Computing Center;, Research report, 1968)

• Adaptive registration of remote sensing images using supervised learning 

  Eikvil, Line; Holden, Marit; Huseby, Ragnar Bang (Peer reviewed; Journal article, 2009)

  This paper describes a system for co-registration of time series satellite images which uses a learning-based strategy. During a training phase, the system learns to recognize regions in an image suited for registration. ...

• Multi-sensor and time-series approaches for monitoring of snow parameters 

  Solberg, Rune; Amlien, Jostein; Koren, Hans; Eikvil, Line; Malnes, Eirik; Storvold, Rune (Chapter, 2004)

  Frequent mapping of snow parameters, like snow cover area (SCA) and snow surface wetness (SSW), is important for applications in hydrology, meteorology and climatology. In this study, we have developed a few general ...

• Method development for mapping kelp using drones and satellite images: Results from the KELPMAP-Vega project 

  Gundersen, Hege; Hancke, Kasper; Salberg, Arnt Børre; Poulsen, Robert Nøddebo; Buls, Toms; Liu, Izzie Yi; Ghareeb, Medyan; Christie, Hartvig C; Kile, Maia Røst; Bekkby, Trine; Arvidsson, Karoline Slettebø; Kvile, Kristina Øie (NIVA-rapport;, Research report, 2024)

  The KELPMAP study demonstrated that high-resolution multispectral data from drones and satellites, combined with AI-based image analysis, can efficiently map kelp forests and other coastal habitats. The field campaign, ...

• IoT cybersecurity in 5G and beyond: a systematic literature review 

  Pirbhulal, Sandeep; Chockalingam, Sabarathinam; Shukla, Ankur; Abie, Habtamu (Journal article; Peer reviewed, 2024)

  The 5th generation (5G) and beyond use Internet of Things (IoT) to offer the feature of remote monitoring for different applications such as transportation, healthcare, and energy. There are several advantages of 5G and ...

• Leveraging tensor kernels to reduce objective function mismatch in deep clustering 

  Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael Christian (Journal article; Peer reviewed, 2024)

  Objective Function Mismatch (OFM) occurs when the optimization of one objective has a negative impact on the optimization of another objective. In this work we study OFM in deep clustering, and find that the popular ...

• Assessing the Quality of Human-Generated Summaries with Weakly Supervised Learning 

  Olsen, Joakim; Næss, Arild Brandrud; Lison, Pierre (Chapter, 2021)

  This paper explores how to automatically measure the quality of human-generated summaries, based on a Norwegian corpus of real estate condition reports and their corresponding summaries. The proposed approach proceeds in ...

• Efficient non-interactive anonymous communication 

  Eskeland, Sigurd; Boudko, Svetlana (Journal article; Peer reviewed, 2024)

  Methods for untraceable and anonymous communication, such as anonymous routing networks and dining cryptographers networks, are in general very complex and suffer from high performance overhead of a minimum order of ...

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