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    • Biases From Spectral Leakage in Remote Sensing of Near-Surface Currents 

      Weichert, Stefan; Smeltzer, Benjamin Keeler; Ellingsen, Simen Ådnøy (Journal article; Peer reviewed, 2023)
      Remotely measuring subsurface water currents from imagery of the wave field has become a much-used technique. We study the biases and errors in such measurements due to spectral leakage and suggest mitigating procedures. ...

    • Big data and data sharing in the AEC: Stakeholder priorities, opportunities, and perceived barriers 

      Taveres-Cachat, Ellika Rose Renee; Labonnote, Nathalie (SINTEF Fag;, Research report, 2021)
      Construction City is a business cluster that works to consolidate the competitiveness of the construction, civil engineering and real estate development sector in Norway. We have almost 100 members, varying from promising ...

    • Big Data in Construction Management Research 

      Sørensen, Anette Østbø; Olsson, Nils; Landmark, Andreas D. (Chapter, 2016)

    • Big Data in Shipping - Challenges and Opportunities 

      Rødseth, Ørnulf Jan; Perera, Lokukaluge Prasad; Mo, Brage (Chapter, 2016)

    • Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview 

      Roman, Dumitru; Nikolov, Nikolay; Soylu, Ahmet; Elvesæter, Brian; Song, Hui; Prodan, Radu; Kimovski, Dragi; Marrella, Andrea; Leotta, Francesco; Matskin, Mihhail; Ledakis, Giannis; Theodosiou, Konstantinos; Simonet-Boulogne, Anthony; Perales, Fernando; Kharlamov, Evgeny; Ulisses, Alexandre; Solberg, Arnor; Ceccarelli, Raffaele (Peer reviewed; Journal article, 2021)
      Organisations possess and continuously generate huge amounts of static and stream data, especially with the proliferation of Internet of Things technologies. Collected but unused data, i.e., Dark Data, mean loss in value ...

    • Big Data Pipelines on the Computing Continuum: Tapping the Dark Data 

      Roman, Dumitru; Prodan, Radu; Nikolov, Nikolay; Soylu, Ahmet; Matskin, Mihhail; Marrella, Andrea; Kimovski, Dragi; Elvesæter, Brian; Simonet-Boulogne, Anthony; Ledakis, Giannis; Song, Hui; Leotta, Francesco; Kharlamov, Evgeny (Peer reviewed; Journal article, 2022)
      The computing continuum enables new opportunities for managing big data pipelines concerning efficient management of heterogeneous and untrustworthy resources. We discuss the big data pipelines lifecycle on the computing ...

    • Big data workflows: Locality-aware orchestration using software containers 

      Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir H.; Roman, Dumitru (Peer reviewed; Journal article, 2021)
      The emergence of the Edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider ...

    • Big Data, Data Science, and Machine Learning 

      Hoffmann, Volker (Lecture, 2018)

    • BIGCCS Centre-supporting Large-Scale CCS Implementation 

      Mølnvik, Mona J.; Aarlien, Rune; Røkke, Nils Anders (Peer reviewed; Journal article, 2013)
      BIGCCS Centre is an international research centre for CCS as a climate mitigation measure supporting large scale deployment of CO2 capture, transport and storage by developing new knowledge, fostering breakthrough technology ...

    • BIGCCS Centre–Boosting CCS research and innovation 

      Mølnvik, Mona Jacobsen; Tangen, Grethe; Aarlien, Rune; Røkke, Nils Anders (Peer reviewed; Journal article, 2011)
      BIGCCS Centre is an international research centre aiming at extending and releasing the potentials for large scale deployment of CO2 capture and storage by developing new knowledge, fostering breakthrough technology and ...

    • BIGCCS final report 

      Aarlien, Rune (Report, 2017)

    • BIGCCS Innovations – Measures to Accelerate CCS Deployment 

      Mølnvik, Mona J.; Aarlien, Rune; Henriksen, Partow Pakdel; Munkejord, Svend Tollak; Tangen, Grethe; Jakobsen, Jana Poplsteinova (Peer reviewed; Journal article, 2016)
      After six years in operation, BIGCCS International Research Centre is in its final phase, and results are being produced at high speed. The ultimate goal for the BIGCCS centre is to contribute to the acceleration of ...

    • Bilge keel induced roll damping of an FPSO with sponsons 

      Ommani, Babak; Fonseca, Nuno; Kristiansen, Trygve; Bakksjø, Hanne (ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering - Volume 1: Offshore Technology;Offshore Geotechnics;OMAE2016-54420, Chapter, 2016-06)
      The bilge keel induced roll damping of an FPSO with sponsons is investigated numerically and experimentally. The influence of the bilge keel size, on the roll damping is studied. Free decay tests of a three-dimensional ...

    • Bimetallic Nano Electrocatalyst for HER in Alkaline Polymer Electrolysis 

      Faid, Alaa; Manikandan, Maidhily; Seland, Frode; Barnett, Alejandro; Sunde, Svein (Peer reviewed; Journal article, 2018)
      Ni and alloys of Ni (with Fe, Co, Mo) still represent the most suitable electrodes for HER in alkaline media. Bimetallic nanoparticles of NiFe and NiCo were fabricated by co-precipitation and thermal reduction by oleylamine. ...

    • Bin Picking of Reflective Steel Parts Using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment 

      Dyrstad, Jonatan Sjølund; Bakken, Marianne; Grøtli, Esten Ingar; Schulerud, Helene; Mathiassen, John Reidar Bartle (Chapter, 2019)
      We consider the case of robotic bin picking of reflective steel parts, using a structured light 3D camera as a depth imaging device. In this paper, we present a new method for bin picking, based on a dual-resolution ...

    • Bin Picking of Reflective Steel Parts Using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment 

      Dyrstad, Jonatan Sjølund; Bakken, Marianne; Grøtli, Esten Ingar; Schulerud, Helene; Mathiassen, John Reidar Bartle (Chapter, 2019-12-15)
      We consider the case of robotic bin picking of reflective steel parts, using a structured light 3D camera as a depth imaging device. In this paper, we present a new method for bin picking, based on a dual-resolution ...

    • Bin Picking of Reflective Steel Parts using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment 

      Dyrstad, Jonatan Sjølund; Bakken, Marianne; Grøtli, Esten Ingar; Schulerud, Helene; Mathiassen, John Reidar Bartle (Journal article; Peer reviewed, 2018-12-12)
      We consider the case of robotic bin picking of reflective steel parts, using a structured light 3D camera as a depth imaging device. In this paper, we present a new method for bin picking, based on a dual-resolution ...

    • Binary segmentation of medical images using implicit spline representations and deep learning 

      Barrowclough, Oliver Joseph David; Muntingh, Agnar Georg Peder; Nainamalai, Varatharajan; Stangeby, Ivar Haugaløkken (Peer reviewed; Journal article, 2021)
      We propose a novel approach to image segmentation based on combining implicit spline representations with deep convolutional neural networks. This is done by predicting the control points of a bivariate spline function ...

    • Bio-Binders and its Carbonization and Interaction with Petroleum Coke during Baking 

      Jahrsengene, Gøril; Rørvik, Stein; Støre, Anne; Wang, Liang; Skreiberg, Øyvind (Peer reviewed; Journal article, 2022)
      To reduce the carbon footprint in aluminium production, bio-based binders are suggested to replace some or all coal tar pitch in the carbon anodes. In this study, bio-binders based on Norwegian spruce and birch woods were ...

    • Bioactivities of fish protein hydrolysates from defatted salmon backbones 

      Slizyte, Rasa; Rommi, Katariina; Mozuraityte, Revilija; Eck, Peter; Five, Kathrine; Rustad, Turid (Journal article; Peer reviewed, 2016-09)
      Bioactivities of bulk fish protein hydrolysates (FPH) from defatted salmon backbones obtained with eight different commercial enzymes and their combinations were tested. All FPH showed antioxidative activity in vitro. DPPH ...