• Random sparse generators of Markovian evolution and their spectral properties 

      Nakerst, Goran; Denysov, Sergiy; Haque, Masudul (Peer reviewed; Journal article, 2023)
      The evolution of a complex multi-state system is often interpreted as a continuous-time Markovian process. To model the relaxation dynamics of such systems, we introduce an ensemble of random sparse matrices which can be ...
    • Random Testing and Evolutionary Testing for Fuzzing GraphQL APIs 

      Belhadi, Asma; Zhang, Man; Arcuri, Andrea (Peer reviewed; Journal article, 2023)
      The Graph Query Language (GraphQL) is a powerful language for APIs manipulation in web services. It has been recently introduced as an alternative solution for addressing the limitations of RESTful APIs. This paper introduces ...
    • Real-time Analysis of Physical Performance Parameters in Elite Soccer 

      Andreassen, Kim Hartvedt; Johansen, Dag; Johansen, Håvard D.; Matias Do Vale Baptista, Ivan Andre; Pettersen, Svein Arne; Riegler, Micheal; Halvorsen, Pål (International Conference on Content-Based Multimedia Indexing (CBMI);, Conference object, 2019-10-21)
      Technology is having vast impact on the sports industry, and in particular soccer. All over the world, soccer teams are adapting digital information systems to quantify performance metrics. The goal is to assess strengths ...
    • Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks 

      Rognved, Olav; Hicks, Steven; Lasantha Bandara Thambawita, Vajira; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael A.; Halvorsen, Pål (IEEE International Symposium on Multimedia; 2020 IEEE International Symposium on Multimedia (ISM), Chapter; Peer reviewed, 2020-01-22)
      In this paper, we present an algorithm for automatically detecting events in soccer videos using 3D convolutional neural networks. The algorithm uses a sliding window approach to scan over a given video to detect events ...
    • Real-Time Event Detection with Random Forests and Temporal Convolutional Networks for More Sustainable Petroleum Industry 

      Qu, Yuanwei; Zhou, Baifan; Waaler, Arild Torolv Søetorp; Cameron, David B. (Journal article, 2023)
      The petroleum industry is crucial for modern society, but the production process is complex and risky. During the production, accidents or failures, resulting from undesired production events, can cause severe environmental ...
    • Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning 

      Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Johansen, Håvard D.; Johansen, Dag; Rittscher, Jens; Riegler, Michael A.; Halvorsen, Pal (IEEE Access;Volume: 9, Peer reviewed; Journal article, 2021-03-04)
      Computer-aided detection, localization, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and segmentation of polyps, benchmarking of ...
    • Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning 

      Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Johansen, Håvard D.; Johansen, Dag; Rittscher, Jens; Riegler, Michael; Halvorsen, Pål (IEEE Access;Volume: 9, 2021, Peer reviewed; Journal article, 2021-03-04)
      Computer-aided detection, localization, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and segmentation of polyps, benchmarking of ...
    • Real-time water quality monitoring with chemical sensors 

      Yaroshenko, Irina; Kirsanov, Dmitry; Marjanovic, Monika; Lieberzeit, Peter A.; Korostynska, Olga; Mason, Alex; Frau, Ilaria; Legin, Andrey (Sensors;Volume 20, Issue 12, Journal article; Peer reviewed, 2020-06-17)
      Water quality is one of the most critical indicators of environmental pollution and it affects all of us. Water contamination can be accidental or intentional and the consequences are drastic unless the appropriate measures ...
    • Reasons to the low use of self-consolidating concrete in Norway 

      Fremmergård, Øyvind; Fjærestrand, Mats; Hjelseth, Simen Michael Dilling; Lassen, Ann Karina; Kioumarsi, Mahdi (Journal article; Peer reviewed, 2017)
      According to several research papers, self-consolidating concrete (SCC) should be able to offer advantages over conventional vibrated concrete (CVC) [1 - 3 ] . Nevertheless, in Norway SCC has a relatively low market ...
    • Recalling memories through reminiscence theatre 

      Gjærum, Rikke Gürgens (InFormation-Nordic Journal of Art and Research;2(2), Journal article; Peer reviewed, 2013)
      The purpose of this article is to study how a reminiscence theatre production develops dramaturgically, and to discuss what impact it has on the participants who take part in the project “The aged as a resource”. The theatre ...
    • Recent advances in photoacoustic blind source spectral unmixing approaches and the enhanced detection of endogenous tissue chromophores 

      Grasso, Valeria; Hassan, Hafiz Wajahat; Mirtaheri, Peyman; Willumeit-Römer, Regine; Jose, Jithin (Frontiers in Signal Processing;Volume 2 - 2022, Peer reviewed; Journal article, 2022)
      Recently, the development of learning-based algorithms has shown a crucial role to extract features of vital importance from multi-spectral photoacoustic imaging. In particular, advances in spectral photoacoustic unmixing ...
    • Recent progress in the application of energy technologies in Large-Scale building Blocks: A State-of-the-Art review 

      Madessa, Habtamu Bayera; Shakerin, Mohammad; Helberg Reinskau, Espen; Rabani, Mehrdad (Peer reviewed; Journal article, 2024)
      The transition to clean and sustainable energy systems in the building sector is vital to reduce global greenhouse gas emissions. In this regard, shifting the focus from single buildings to clusters of buildings, such as ...
    • Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data 

      Hammer, Hugo Lewi; Yazidi, Anis; Bratterud, Alfred; Haugerud, Hårek; Feng, Boning (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;188(1), Journal article; Peer reviewed, 2016)
      Statistical queuing models are popular to analyze a computer systems ability to process different types requests. A common strategy is to run stress tests by sending artificial requests to the system. The rate ...
    • Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements 

      Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Øivind (2018 IEEE 17th International Symposium on Network Computing and Applications (NCA);, Chapter; Chapter; Peer reviewed, 2018-11-29)
      Long Short-Term Memory (LSTM) neural networks are a state-of-the-art techniques when it comes to sequence learning and time series prediction models. In this paper, we have used LSTM-based Recurrent Neural Networks (RNN) ...
    • Redesign av jeans: En studie i hvordan ressurser kan utnyttes - med mål om å fremme tilknytning til ting og skape bevissthet rundt forbruk 

      Andersen, Deepa Veronica (MEST;2020, Master thesis, 2020)
      Denne masteroppgaven er skrevet med den hensikt å belyse at det kan være problematisk å se redesign som en rask og enkel måte å skaffe noe nytt. Den praktiske undersøkelsen har derfor fokus på å finne muligheter for å lage ...
    • Redesign of Garments in General Education: A Path to Reduced Consumption 

      Orheim, Monica Schlanbusch; Nielsen, Liv Merete (Chapter; Peer reviewed, 2017)
      Mass consumption in Western societies poses a great threat to the global climate. How do we change attitudes towards mass consumption so that the next generation does not inherit an unfortunate ...
    • Redningsarbeid ved snøskredulykker 

      Prestrud, Cecilie (MAPD;2018, Master thesis, 2018)
      Every year hundreds of people are involved in avalanches to a greater or smaller extent in Norway, and every year experienced and inexperienced mountain hikers lose their lives as a consequence of being taken by an avalanche ...
    • Redningsarbeid ved snøskredulykker 

      Prestrud, Cecilie (MAPD;2018, Master thesis, 2018)
      Every year hundreds of people are involved in avalanches to a greater or smaller extent in Norway, and every year experienced and inexperienced mountain hikers lose their lives as a consequence of being taken by an avalanche ...
    • Reduce Women Sexual Violence Smartly Through Technology 

      Haque, Sadiah (Master thesis, 2019)
      In recent years, acts of sexual violence against women are increasing at a terrifying rate (Mahajan, Reddy, & Rajput, 2016). United Nations says sexual violence includes a host of harmful behaviors directed at women and ...