Now showing items 1945-1964 of 2645

    • Quantum optimal control theory applied to transitions in diatomic molecules 

      Lysebo, Marius; Veseth, Leif (Physical Review A;90(6), Journal article; Peer reviewed, 2014-12-29)
      Quantum optimal control theory is applied to control electric dipole transitions in a real multilevel system. The specific system studied in the present work is comprised of a multitude of hyperfine levels in the electronic ...
    • Quantum Riemannian geometry of quantum projective spaces 

      Matassa, Marco (Journal of Geometry and Physics;Volume 179, September 2022, 104611, Peer reviewed; Journal article, 2022-07-11)
      We study the quantum Riemannian geometry of quantum projective spaces of any dimension. In particular, we compute the Riemann and Ricci tensors using previously introduced quantum metrics and quantum Levi-Civita connections. ...
    • Quasi-stationary oscillations in game-driven evolutionary dynamics 

      Vershinina, Olga; Ivanchenko, Mikhail; Denysov, Sergiy (Cybernetics and Physics;Volume 8, 2019, Number 4, Journal article; Peer reviewed, 2019-12-24)
      Nonlinear dynamics makes use of attactors to describe asymptotic behavior of complex systems. However, in real life can be unattainable, as achieving them might require time much exceeding all relevant timescales of a ...
    • Quasi-stationary states of game-driven systems: A dynamical approach 

      Denysov, Sergiy; Vershinina, Olga; Thingna, Juzar; Hanggi, Peter; Ivanchenko, Mikhail (Chaos;Volume 30, issue 12, Journal article; Peer reviewed, 2020-12-28)
      Evolutionary game theory is a framework to formalize the evolution of collectives (“populations”) of competing agents that are playing a game and, after every round, update their strategies to maximize individual payoffs. ...
    • Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping 

      Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny (Lecture Notes in Computer Science (LNCS);Volume 13384, Peer reviewed; Journal article, 2022-07-20)
      Industrial analytics that includes among others equipment diagnosis and anomaly detection heavily relies on integration of heterogeneous production data. Knowledge Graphs (KGs) as the data format and ontologies as the ...
    • Quick and Easy 3D Modelling for All: A Browser-based 3D-Sketching Framework 

      Sandnes, Frode Eika; Lianguzov, Yuriy (Journal article; Peer reviewed, 2017)
      Modelling in 3D is considered time-consuming and difficult, relying on special skills. To make matters worse, there are currently no user interface conventions for how to work with 3D data and different modelling applications ...
    • R-U-I-N Regionsutvikling i Nord - Med feministiske briller i etnodramatisk utviklingsarbeid 

      Aasebøstøl, Borghild Otelie (Master thesis, 2017)
      Med denne studien henvender jeg meg til dere som er interessert i, og arbeider med, etnodramaformen. Studien tar for seg utviklingen av et etnodrama med arbeidstittelen RUIN – RegionsUtvikling i Nord. Etnodramaet har sitt ...
    • Rammefaktorer og handlingsrom: En kritisk diskursanalyse av diskusjonene i fagmiljøet og stortingspolitikken rundt rammefaktorene for kunst og håndverk i grunnskolen. 

      Heffermehl, Marit Birgitte (MEST;2022, Master thesis, 2022)
      Denne masteroppgaven har som intensjon å analysere diskusjonene i fagmiljøet i kunst og håndverk og stortingspolitikken omkring rammefaktorer i grunnskolefaget kunst og håndverk. Utgangspunktet for temaet er fagfornyelsens ...
    • 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 ...