Now showing items 647-666 of 930

    • QB-Gest: Qwerty bimanual gestural input for eye-free smartphone text input 

      Ye, Linghui; Sandnes, Frode Eika; MacKenzie, Scott (Lecture Notes in Computer Science;Volume 12188, Conference object, 2020-07-10)
      We developed QB-Gest, a bimanual text entry method based on simple gestures where users drag their thumbs in the direction of the desired letter while visualizing the Qwerty-layout. In an experiment with four sessions of ...
    • Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach 

      Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro; Haugerud, Hårek; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ...
    • Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach 

      Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro; Haugerud, Hårek; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ...
    • Quality teaching and learning as practice within different disciplinary discourses 

      Wittek, Anne Line; Habib, Laurence (International Journal of Teaching and Learning in Higher Education;25 (3), Journal article; Peer reviewed, 2013)
      This article focuses on describing the interplay between teaching and learning practices in Higher Education and the disciplinary context of such practices. In particular, it aims to address the question of how course ...
    • Quantile Estimation Based on the Principles of the Search on the Line 

      Yazidi, Anis; Hammer, Hugo Lewi (IFIP Advances in Information and Communication Technology;Vol 519, Chapter; Peer reviewed, 2018-05-22)
      The goal of our research is to estimate the quantiles of a distribution from a large set of samples that arrive sequentially. We propose a novel quantile estimator that requires a finite memory and is simple to implement. ...
    • Quantization of subgroups of the affine group 

      Tuset, Lars; Bieliavsky, Pierre; Gayral, Victor; Neshveyev, Sergey (Journal of Functional Analysis;Volume 280, Issue 4, 108844, Journal article; Peer reviewed, 2021-02-15)
      Consider a locally compact group such that V is abelian and the action of Q on the dual abelian group has a free orbit of full measure. We show that such a group G can be quantized in three equivalent ways: (1) by ...
    • Quantized Algebras of Functions on Homogeneous Spaces with Poisson Stabilizers 

      Neshveyev, Sergey; Tuset, Lars (Journal article; Peer reviewed, 2012-03-01)
      Let G be a simply connected semisimple compact Lie group with standard Poisson structure, K a closed Poisson-Lie subgroup, 0 < q < 1. We study a quantization C(G q /K q ) of the algebra of continuous functions on G/K. Using ...
    • Quantum flag manifolds, quantum symmetric spaces and their associated universal K-matrices 

      De Commer, Kenny; Matassa, Marco (Advances in Mathematics;Volume 366, 3 June 2020, 107029, Journal article; Peer reviewed, 2020-06-03)
      Let U be a connected, simply connected compact Lie group with complexification G. Let u and g be the associated Lie algebras. Let Γ be the Dynkin diagram of g with underlying set I, and let Uq(u) be the associated quantized ...
    • Quantum Lyapunov exponents beyond continuous measurements 

      Yusipov, Igor; Vershinina, Olga; Denysov, Sergiy; Kuznetsov, Sergey; Ivanchenko, Mikhail (Chaos;Volume 29, Issue 6, Journal article; Peer reviewed, 2019-10-28)
      Quantum systems, when interacting with their environments, may exhibit non-equilibrium states that are tempting to be interpreted as quantum analogs of chaotic attractors. However, different from the Hamiltonian case, the ...
    • 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 ...
    • 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 ...