• Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs 

      Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Brodtkorb, André R. (Springer Proceedings in Mathematics & Statistics;volume 323, Conference object, 2020-06-10)
      In this work, we perform fully nonlinear data assimilation of ocean drift trajectories using multiple GPUs. We use an ensemble of up to 10000 members and the sequential importance resampling algorithm to assimilate ...
    • Data center traffic scheduling with hot-cold link detection capabilities 

      Yazidi, Anis; Hussein, Abdi; Feng, Boning (RACS '18 Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems;, Chapter; Chapter; Peer reviewed, 2018)
      Software-Defined Networking (SDN) has been one of the most discussed areas in computer networking over the last years. The field has raised an extensive amount of research, and led to a transformation of traditional network ...
    • Data collection for Machine Learning in 5G Mobile Networks 

      Ahmad, Furqan (Master thesis, 2023)
      In the world of service delivery, an efficient and scalable monitoring system is mandatory for the continuity of services and identification and troubleshooting of various incidents. 5G core networks deployed in complex ...
    • Data fusion without knowledge of the ground truth using Tseltin-like Automata 

      Yazidi, Anis; Sandnes, Frode Eika (Chapter; Peer reviewed; Chapter, 2016)
      The fusioning of data from unreliable sensors has received much research attention. The main stream of research assesses the reliability of a sensor by comparing its readings to the ground ...
    • Data Journalism and Misinformation 

      Westlund, Oscar; Hermida, Alfred (The Routledge Companion to Media Disinformation and Populism;, Chapter; Peer reviewed, 2021-03-24)
      This chapter focuses on the intersection of data journalism and misinformation by discussing research into epistemic practices for finding and working with data as well as how data is used to make claims about events and ...
    • Data quality and practical challenges of thyroid volume assessment by ultrasound under field conditions - observer errors may affect prevalence estimates of goitre 

      Henjum, Sigrun; Oshaug, Arne; Strand, Tor A; Torheim, Liv E; Parr, Christine L (Journal article; Peer reviewed, 2010)
      Background: The ultrasonographic estimation of thyroid size has been advocated as being more precise than palpation to diagnose goitre. However, ultrasound also requires technical proficiency. This study was conducted among ...
    • Data Quality Barriers for Transparency in Public Procurement 

      Soylu, Ahmet; Corcho, Oscar; Elvesæter, Brian; Badenes-Olmedo, Carlos; Yedro Martínez, Francisco; Kovavic, Matej; Posinkovic, Matej; Medvescek, Mitja; Makgill, Ian; Taggart, Chris; Simperl, Elena; Lech, Till Christopher; Roman, Dumitru (Information; Volume 13, Issue 2, Peer reviewed; Journal article, 2022-02-20)
      Governments need to be accountable and transparent for their public spending decisions in order to prevent losses through fraud and corruption as well as to build healthy and sustainable economies. Open data act as a major ...
    • Data quality issues in solar panels installations: a case study 

      Roman, Dumitru; Pultier, Antoine; Ma, Xiang; Soylu, Ahmet; Ulyashin, Alexander (SEA4DQ: Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things;SEA4DQ '22: 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, Conference object, 2022-11-09)
      Solar photovoltaics (PV) is becoming an important source of global electricity generation. Modern PV installations come with a variety of sensors attached to them for monitoring purposes (e.g., maintenance, prediction of ...
    • Data quality model for assessing public COVID-19 big datasets 

      Ngueilbaye, Alladoumbaye; Huang, Joshua Zhexue; Khan, Mehak; Wang, Hongzhi (Peer reviewed; Journal article, 2023)
      For decision-making support and evidence based on healthcare, high quality data are crucial, particularly if the emphasized knowledge is lacking. For public health practitioners and researchers, the reporting of COVID-19 ...
    • Data sharing in the life sciences : a study of researchers at the Norwegian University of Life Sciences 

      Kvale, Live Håndlykken (Master thesis, 2012)
      Digital research data collected in the sciences has the potential to be reused and shared openly. Several arguments for such sharing have come forward both from funders and researchers during the last decade. This study ...
    • Data-driven model of the power-grid frequency dynamics 

      Rydin Gorjao, Leonardo; Anvari, Mehrnaz; Kantz, Holger; Beck, Christian; Witthaut, Dirk; Timme, Marc; Schäfer, Benjamin (IEEE Access;Volume 8, 2020, Peer reviewed; Journal article, 2020-01-20)
      The energy system is rapidly changing to accommodate the increasing number of renewable generators and the general transition towards a more sustainable future. Simultaneously, business models and market designs evolve, ...
    • Data-driven news work culture: Reconciling tensions in epistemic values and practices of news journalism 

      Ekström, Mats; Ramsälv, Amanda; Westlund, Oscar (Journalism - Theory, Practice & Criticism;, Peer reviewed; Journal article, 2021-12-21)
      This study investigates the epistemological implications of the appropriation of audience analytics in a data-driven news culture. Focussing on two central aspects of epistemology, epistemic value and epistemic practices, ...
    • DataCloud: Enabling the Big Data Pipelines on the Computing Continuum 

      Roman, Dumitru; Nikolov, Nikolay; Elvesæter, Brian; Soylu, Ahmet; Prodan, Radu; Kimovski, Dragi; Marrella, Andrea; Leotta, Francesco; Benvenuti, Dario; Matskin, Mihhail; Ledakis, Giannis; Simonet-Boulogne, Anthony; Perales, Fernando; Kharlamov, Evgeny; Ulisses, Alexandre; Solberg, Arnor; Ceccarelli, Raffaele (Lecture Notes in Business Information Processing;Volume 415, Conference object, 2021-05)
      With the recent developments of Internet of Things (IoT) and cloud-based technologies, massive amounts of data are generated by heterogeneous sources and stored through dedicated cloud solutions. Often organizations generate ...
    • Datakvalitet i Ung i Oslo 2006 

      Elstad, Jon Ivar (NOVA Notat 1/10, Notat, 2010)
      I 2006 gjennomførte NOVA en stor datainnsamling, Ung i Oslo 2006, der omlag 11.500 Oslo-elever i 14-17-årsalderen deltok ved å besvare et spørreskjema distribuert på skolene. Notatet diskuterer om måten datainnsamlingen ...
    • Datakvalitet i Ung i Oslo 2006 

      Elstad, Jon Ivar (NOVA Notat 1/10, Notat, 2010)
      I 2006 gjennomførte NOVA en stor datainnsamling, Ung i Oslo 2006, der omlag 11.500 Oslo-elever i 14-17-årsalderen deltok ved å besvare et spørreskjema distribuert på skolene. Notatet diskuterer om måten datainnsamlingen ...
    • Datalog with External Machine Learning Functions for Automated Cloud Resource Configuration 

      Zheng, Zhuoxun; Savkovic, Ognjen; Phuc Luu, Huu; Soylu, Ahmet; Kharlamov, Evgeny; Zhou, Baifan (Peer reviewed; Journal article, 2023)
      Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges. In that context, distributed computing solutions such as cloud systems are ...
    • Dataoverføring fra PLS til sky 

      Dreyer, Christoffer Larsen; Foyn, Petter Hellum; Gazimagamaev, Sjamil Mosajevitsj; Kirmichi, Margarita (Bachelor thesis, 2019-05-23)
      Oppgaven går ut på å sette opp en PLS for kommunikasjon med en skytjeneste via en GSM-ruter. Oppsettet gjør et mulig for PLSen å laste opp og lagre måledata på skyen over mobilnettet uavhengig av hvor PLS skal holdes til. ...
    • A dataset for predicting cloud cover over Europe 

      Svennevik, Hanna; Hicks, Steven; Riegler, Michael; Storelvmo, Trude; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2024)
      Clouds are important factors when projecting future climate. Unfortunately, future cloud fractional cover (the portion of the sky covered by clouds) is associated with significant uncertainty, making climate projections ...
    • Dataset of mechanical properties of coarse aggregates stabilized with traditional and nontraditional additives: Stiffness, deformation, resistance to freezing and stripping 

      Barbieri, Diego Maria; Lou, Baowen; Dyke, Robert Jason; Chen, Hao; Chandra Sahoo, Umesh; Tingle, Jeb S; Hoff, Inge (Data in Brief;Volume 46, February 2023, 108781, Peer reviewed; Journal article, 2022-12-05)
      The dataset derives from a thorough laboratory characterization of all existing stabilization technologies suitable for coarse-graded aggregates. They include two traditional binders (based on cement and bitumen) and eleven ...
    • Dataset regarding the mechanical properties of roads unbound treated with synthetic fluid based on isoalkane and tall oil 

      Barbieri, Diego Maria; Lou, Baowen; Dyke, Robert Jason; Chen, Hao; Wang, Fusong; Connor, Billy; Hoff, Inge (Data in Brief;Volume 40, February 2022, 107758, Peer reviewed; Journal article, 2021-12-27)
      The dataset revolves around the laboratory testing of an innovative additive technology for possible stabilization of unbound courses in road pavements. The product is a synthetic fluid based on isoalkane and tall oil ...