• Smittestopp analytics: Analysis of position data 

      Thambawita, Vajira L B; Hicks, Steven; Ewan, Jaouen; Halvorsen, Pål; Riegler, Michael (Simula SpringerBriefs on Computing;Volume 11, Chapter; Peer reviewed, 2022-06-18)
      Contact tracing applications generally rely on Bluetooth data. This type of data works well to determine whether a contact occurred (smartphones were close to each other) but cannot offer the contextual information GPS ...
    • Smittestopp Backend 

      Midoglu, Cise; Ragan-Kelley, Benjamin; Reinemo, Sven- Arne; Jahren, Jon; Halvorsen, Pål (Simula SpringerBriefs on Computing;Volume 11, Chapter; Peer reviewed; Journal article, 2022-06-18)
      An efficient backend solution is of great importance for any large-scale system, and Smittestopp is no exception. The Smittestopp backend comprises various components for user and device registration, mobile app data ...
    • Smooth estimates of multiple quantiles in dynamically varying data streams 

      Hammer, Hugo Lewi; Yazidi, Anis (Pattern Analysis and Applications;Published online:09 April 2019, Journal article; Peer reviewed, 2019-04-09)
      In this paper, we investigate the problem of estimating multiple quantiles when samples are received online (data stream). We assume a dynamical system, i.e. the distribution of the samples from the data stream changes ...
    • Soccer Game Summarization using Audio Commentary, Metadata, and Captions 

      Gautam, Sushant; Midoglu, Cise; Sabet, Saeed; Kshatri, Dinesh Baniya; Halvorsen, Pål (MM: International Multimedia Conference;MM '22: The 30th ACM International Conference on Multimedia, Conference object, 2022)
      Soccer is one of the most popular sports globally, and the amount of soccer-related content worldwide, including video footage, audio commentary, team/player statistics, scores, and rankings, is enormous and rapidly growing. ...
    • Social Financial Benefit Assessment of the Mobile Birth Registration 

      Do, van Thanh; Swafford, Clark; Khuong, Loc Huu; Do, Van Thuan (Flexible Systems Management;Agile Information Business; Exploring Managerial Implications, Journal article; Peer reviewed, 2017-09-03)
      In this paper, the usability and the usefulness of mobile technologies far beyond personal communication has been demonstrated by the Mobile Birth Registration (MBR) concept. To remove the hindrances like long distances, ...
    • Social Web in IoT: Can Evolutionary Computation and Clustering Improve Ontology Matching for Social Web of Things? 

      Belhadi, Asma; Djenouri, Djamel; Djenouri, Youcef; Belbachir, Nabil; Srivastava, Gautam (IEEE Transactions on Computational Social Systems;, Peer reviewed; Journal article, 2023)
      Many Internet of Things (IoT) applications can benefit from Social Web of Things (S-WoT) methods that enable knowledge discovery and help solving interoperability problems. The semantic modeling of S-WoT is the main emphasis ...
    • Solution of the Dirac equation for hydrogenlike systems exposed to intense electromagnetic pulses 

      Selstø, Sølve; Bengtsson, Jakob; Lindroth, Eva (Journal article; Peer reviewed, 2009)
      The time-dependent Dirac equation is solved numerically and compared to the corresponding prediction of the nonrelativistic Schrödinger equation for hydrogenlike systems exposed to intense laser pulses. It is found that ...
    • Solution of the time-dependent Schrödinger equation using uniform complex scaling 

      Bengtsson, Jakob; Lindroth, Eva; Selstø, Sølve (Journal article; Journal article; Peer reviewed, 2008)
      The formalism of complex rotation of the radial coordinate is studied in the context of time-dependent systems. The applicability of this method is discussed and illustrated with numerical examples involving atoms exposed ...
    • Solving stochastic nonlinear resource allocation problems using continuous learning automata 

      Yazidi, Anis; Hammer, Hugo Lewi (Applied Intelligence;November 2018, Volume 48, Issue 11, Journal article; Peer reviewed, 2018-06-23)
      This paper deals with the Stochastic Non-linear Fractional Equality Knapsack (NFEK) problem which is a fundamental resource allocation problem based on incomplete and noisy information [7, 8]. The NFEK problem arises ...
    • Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation 

      Abolpour Mofrad, Asieh; Yazidi, Anis; Hammer, Hugo Lewi (Chapter; Peer reviewed, 2017)
      The Stochastic Point Location (SPL) problem introduced by Oommen [7] can be summarized as searching for an unknown point in the interval under a possibly faulty feedback. The search is performed via a Learning Mechanism ...
    • Solving Stochastic Root-Finding with adaptive d-ary search 

      Yazidi, Anis; Oommen, John (Peer reviewed; Journal article, 2015)
      The most fundamental problem encountered in the field of stochastic optimization, is the Stochastic Root Finding (SRF) problem where the task is to locate an unknown point x for which g ( x )=0 for a given ...
    • Solving the Grand Challenges Together: A Brazil-Norway Approach to Teaching Collaborative Design and Prototyping of Assistive Technologies and Products for Independent Living 

      Sandnes, Frode Eika; Medola, Fausto Orsi; Berg, Arild; Rodrigues, Osmar Vicente; Mirtaheri, Peyman; Gjøvaag, Terje (Chapter; Peer reviewed, 2017)
      This paper describes the roadmap for a long term strategic internationalization project involving two key higher education institutions in Norway and Brazil. The project involves six different yet related ...
    • Solving the Lunar Lander Problem with Multiple Uncertainties using a Deep Q-Learning based Short-Term Memory Agent 

      Guttulsrud, Håkon; Sandnes, Mathias; Shrestha, Raju (Chapter, 2024)
      Efficient space travel requires intelligent and robust control mechanisms during spacecraft landing scenarios. Developing a control mechanism for a rocket trajectory problem is inherently complex. This paper introduces ...
    • SoMeMax - A Novel AI-driven Approach to Generate Artificial Social Media Content That Maximises User Engagement 

      Stave, Daniel Årrestad; Korneliussen, Hanne; Hjellup, H. Nøkkelby; Shrestha, Raju (Chapter; Peer reviewed; Conference object, 2023)
      Today, many artificial or virtual influencers roam social media platforms to maximise followers and offer commercial options for companies. This work focuses on developing artificial influencers using state-of-the-art ...
    • Spatio-temporal complexity of power-grid frequency fluctuations 

      Rydin Gorjao, Leonardo; Schäfer, Benjamin; Witthaut, Dirk; Beck, Christian (Peer reviewed; Journal article, 2021)
      Power-grid systems constitute one of the most complex man-made spatially extended structures. These operate with strict operational bounds to ensure synchrony across the grid. This is particularly relevant for power-grid ...
    • Speech Driven by Artificial Larynx: Potential Advancement Using Synthetic Pitch Contours 

      Jian, Hua-Li (Journal article; Peer reviewed, 2015-06-18)
      Despite a long history of development, the speech qualities achieved with artificial larynx devices are limited. This paper explores recent advances in prosodic speech processing and technology and assesses their potentials ...
    • Stable marriage matching for homogenizing load distribution in cloud data center 

      Sangar, Disha; Upreti, Ramesh; Haugerud, Hårek; Begnum, Kyrre; Yazidi, Anis (Transactions on Large-Scale Data- and Knowledge-Centered Systems; Volume 12390, Journal article; Peer reviewed, 2020-09-20)
      Running a sheer virtualized data center with the help of Virtual Machines (VM) is the de facto-standard in modern data centers. Live migration offers immense flexibility opportunities as it endows the system administrators ...
    • Starstruck by journal prestige and citation counts? On students’ bias and perceptions of trustworthiness according to clues in publication references 

      Eika, Evelyn; Sandnes, Frode Eika (Scientometrics;Volume 127, issue 11, Peer reviewed; Journal article, 2022-10-10)
      Research is becoming increasingly accessible to the public via open access publications, researchers’ social media postings, outreach activities, and popular disseminations. A healthy research discourse is typifed by ...
    • Statistical models for short- and long-term forecasts of snow depth 

      Hammer, Hugo Lewi (Journal article; Peer reviewed, 2017)
      Forecasting of future snow depths is useful for many applications like road safety, winter sport activities, avalanche risk assessment and hydrology. Motivated by the lack of statistical forecasts models for snow depth, ...
    • Statistics-IDE: Supporting the design of empirical experiments for non-experts during early stages of research projects 

      Sandnes, Frode Eika; Eika, Evelyn (Advances in Intelligent Systems and Computing;Volume 722, Journal article; Peer reviewed, 2018-12-31)
      Empirical experimentation and inferential statistics are often perceived as challenging among students and researchers. Yet, empirical experiments are highly relevant and appropriate methods in several areas of ergonomics ...