Blar i TKD - Institutt for informasjonsteknologi på tittel

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    • Efficient Estimation of Generative Models Using Tukey Depth 

      Vo, Minh-Quan; Nguyen, Thu; Riegler, Michael; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2024)
      Generative models have recently received a lot of attention. However, a challenge with such models is that it is usually not possible to compute the likelihood function, which makes parameter estimation or training of ...

    • Efficient live and on-demand tiled HEVC 360 VR video streaming 

      Jeppsson, Mattis; Espeland, Håvard; Kupka, Tomas; Langseth, Ragnar; Petlund, Andreas; Peng, Qiaoqiao; Xue, Chuansong; Johansen, Dag; Pogorelov, Konstantin; Stensland, Håkon Kvale; Griwodz, Carsten; Riegler, Michael; Halvorsen, Pål (International Journal of Semantic Computing;Vol. 13, No. 03, Journal article; Peer reviewed, 2019-10-24)
      360∘ panorama video displayed through Virtual Reality (VR) glasses or large screens offers immersive user experiences, but as such technology becomes commonplace, the need for efficient streaming methods of such high-bitrate ...

    • An efficient particle swarm optimizer with application to Man-Day project scheduling problems 

      Chen, Ruey-Maw; Sandnes, Frode Eika (Mathematical problems in engineering;, Journal article; Peer reviewed, 2014-05-06)
      The multimode resource-constrained project scheduling problem (MRCPSP) has been confirmed to be an NP-hard problem. Particle swarm optimization (PSO) has been efficiently applied to the search for near optimal solutions ...

    • Efficient quantile tracking using an oracle 

      Hammer, Hugo Lewi; Yazidi, Anis; Riegler, Michael; Rue, Håvard (Applied intelligence (Boston);, Peer reviewed; Journal article, 2022-04-14)
      Concept drift is a well-known issue that arises when working with data streams. In this paper, we present a procedure that allows a quantile tracking procedure to cope with concept drift. We suggest using expected quantile ...

    • eHealth Use Among First-Generation Immigrants From Pakistan in the Oslo Area, Norway, With Focus on Diabetes: Survey Protocol 

      Tatara, Naoe; Kjøllesdal, Marte Karoline Råberg; Mirkovic, Jelena; Andreassen, Hege K (Journal article; Peer reviewed; Journal article, 2016-04-25)
      Background: A variety of eHealth services are available and commonly used by the general public. eHealth has the potential to eng age and empo wer people with managing their ...

    • Electrodynamics of Radiating Charges 

      Grøn, Øyvind (Advances in Mathematical Physics;, Journal article; Peer reviewed, 2012)
      The theory of electrodynamics of radiating charges is reviewed with special emphasis on the role of the Schott energy for the conservation of energy for a charge and its electromagnetic field. It is made clear that the ...

    • Electronic identity mass compromize: Options for recovery 

      Fritsch, Lothar (Lecture Notes in Informatics;, Chapter; Peer reviewed, 2023)
      A National Digital Identity Framework should be designed in a proactive manner, should focus on a resilience-oriented approach, and should be aimed at limiting the risks that may originate from identity data management ...

    • An ELM-based Deep SDAE Ensemble for Inter-Subject Cognitive Workload Estimation with Physiological Signals 

      Zheng, Zhanpeng; Yin, Zhong; Zhang, Jianhua (Chinese Control Conference (CCC);2020 39th Chinese Control Conference (CCC), Conference object, 2020-09-09)
      Evaluating operator cognitive workload (CW) levels in human-machine systems based on neurophysiological signals is becoming the basis to prevent serious accidents due to abnormal state of human operators. This study proposes ...

    • Emerging Biometric Modalities and their Use: Loopholes in the Terminology of the GDPR and Resulting Privacy Risks 

      Bisztray, Tamas; Gruschka, Nils; Bourlai, Thirimachos; Fritsch, Lothar (Conference object, 2021)
      Technological advancements allow biometric applications to be more omnipresent than in any other time before. This paper argues that in the current EU data protection regulation, classification applications using biometric ...

    • EMG Signals based Human Action Recognition via Deep Belief Networks 

      Zhang, Jianhua; Ling, Chen; Li, Sunan (IFAC-PapersOnLine;Volume 52, Issue 19, 2019, Journal article; Peer reviewed, 2019-12-24)
      Electromyography (EMG) signals can be used for action classification. Nonetheless, due to their nonlinear and time-varying properties, it is difficult to classify the EMG signals and it is critical to use appropriate ...

    • Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review 

      Zhang, Jianhua; Yin, Zhong; Chen, Peng; Nichele, Stefano (Information Fusion;Volume 59, July 2020, Peer reviewed; Journal article, 2020-01-31)
      In recent years, the rapid advances in machine learning (ML) and information fusion has made it possible to endow machines/computers with the ability of emotion understanding, recognition, and analysis. Emotion recognition ...

    • Enabling Smart Home with 5G Network Slicing 

      Dzogovic, Bruno; Santos, Bernardo; Noll, Josef; Do, Thuan Van; Feng, Boning; Do, van Thanh (Proceedings of the 2019 IEEE 4th International Conference on Computer and Communication Systems - ICCCS 2019;, Chapter; Peer reviewed, 2019)
      In addition to mobile phones 5G mobile networks will have to support billion IoT devices and applications. To achieve this objective 5G relies in the network slicing concept which is not yet fully understood. This paper ...

    • Encouraging Pro-environmental Behaviour Through an Educational Mobile Application: Preliminary Insights from Early Adopters 

      Duda, Ewa; Anacka, Helena; Kowal, Jolanta; Nowakowska, Iwona; Obracht-Prondzyńska, Hanna; Geirbo, Hanne Cecilie; Radziszewski, Kacper; Romanowska, Małgorzata; Wyciszkiewicz, Aleksandra; Zawieska, Jakub (Peer reviewed; Journal article, 2023)

    • An Energy Efficient Localization Strategy for Outdoor Objects based on Intelligent Light-Intensity Sampling 

      Sandnes, Frode Eika (Lecture Notes in Computer Science;6406, Journal article; Peer reviewed, 2010-10-05)
      A simple and low cost strategy for implementing pervasive objects that identify and track their own geographical location is proposed. The strategy, which is not reliant on any GIS infrastructure such as GPS, is realized ...

    • Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning 

      Rauniyar, Ashish; Kunwar, Jeevan; Haugerud, Hårek; Yazidi, Anis; Engelstad, Paal E. (Communications in Computer and Information Science;volume 1130, Journal article; Peer reviewed; Book chapter, 2019)
      Over the past few years, innovation in the development of Wireless Sensor Networks (WSNs) has evolved rapidly. WSNs are being used in many application fields such as target coverage, battlefield surveillance, home security, ...

    • Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes 

      Abolpour Mofrad, Asieh; Yazidi, Anis; Abolpour Mofrad, Samaneh; Hammer, Hugo Lewi; Arntzen, Erik (Neural Computation;Vol. 33, No. 2, Journal article; Peer reviewed, 2021-02-01)
      Formation of stimulus equivalence classes has been recently modeled through equivalence projective simulation (EPS), a modified version of a projective simulation (PS) learning agent. PS is endowed with an episodic memory ...

    • Enhanced Learning of Jazz Chords with a Projector Based Piano Keyboard Augmentation 

      Sandnes, Frode Eika; Eika, Evelyn (Lecture Notes in Artificial Intelligence;vol 11937, Conference object, 2019)
      Learning jazz piano is considered technically difficult. Most people cannot afford private piano tuition and there are many freely available video tutorials on the Internet. This study identified a set of challenging topics ...

    • Enhancing creativity and play through accessible projector-based interactive PC-control touch technology 

      Begnum, Miriam Eileen Nes; Finstadsveen, Johan; Begnum, Kyrre (The proceedings of Unitech : International Conference on Universal Technologies;2010, Chapter; Peer reviewed, 2010)
      Standard computer peripherals are often challenging to use for mobility impaired, and in particular controlling computer mouse movements efficiently and without risking strain injuries. Projected touch screen technology ...

    • Enhancing investigative interview training using a child avatar system: a comparative study of interactive environments 

      Zohaib Hassan, Syed; Shafiee Sabet, Saeed; Riegler, Michael Alexander; Baugerud, Gunn Astrid; Ko, Hayley Manalang; Salehi, Pegah; Røed, Ragnhild Klingenberg; Sinkerud Johnson, Miriam; Halvorsen, Pål (Peer reviewed; Journal article, 2023)
      The impact of investigative interviews by police and Child Protective Services (CPS) on abused children can be profound, making effective training vital. Quality in these interviews often falls short and current training ...

    • Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case 

      Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Kostylev, Egor V.; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny (Lecture Notes in Computer Science (LNCS);Volume 13384, Peer reviewed; Journal article, 2022-07-20)
      In the context of Industry 4.0 and Internet of Things (IoT), modern manufacturing and production lines are equipped with software systems and sensors that constantly collect and send a high volume of data.