Now showing items 607-626 of 933

    • Peekaboo: Learning-Based Multipath Scheduling for Dynamic Heterogeneous Environments 

      Wu, Hongjia; Alay, Özgü; Brunstrom, Anna; Ferlin, Simone; Caso, Giuseppe (IEEE Journal on Selected Areas in Communications;Volume: 38, Issue: 10, Journal article; Peer reviewed, 2020-06-08)
      Multipath transport protocols utilize multiple network paths (e.g., WiFi and cellular) to achieve improved performance and reliability, compared with their single-path counterparts. The scheduler of a multipath transport ...
    • Peer-Mentoring for Students with Disabilities – A Preliminary Study in Norwegian Higher Education 

      Sanderson, Norun Christine; Chen, Weiqin (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      The number of students with disabilities in higher education is increasing. Despite governmental and institutional support, students with disabilities often have poorer progression and are at a higher risk of dropping out ...
    • Perceivability of Map Information for Disaster Situations for People with Low Vision 

      Tunold, Siv; Radianti, Jaziar; Gjøsæter, Terje; Chen, Weiqin (Lecture Notes in Artificial Intelligence;Volume 11572, Conference object, 2019-07-03)
      Digital maps have become increasingly popular in disaster situation to provide overview of information. However, these maps have also created barriers for many people, particularly people with visual impairments. Existing ...
    • Perceptions of Digital Nudging for Cervical Testing: A Comparison Four Nudge Types 

      Ytterland, , Thea Bratteberg; Fagernes, Siri; Sandnes, Frode Eika (Lecture Notes in Computer Science;13308, Conference object, 2022-06-16)
      Cervical cancer consumes many lives around the world. Many of these lives could be saved if more women were screened for cervical cancer. This study explored the potential of digital nudging through short electronic messages ...
    • Performance Analysis of RF Energy Harvesting and Information Transmission based on NOMA with Interfering Signal for IoT Relay Systems 

      Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald (IEEE Sensors Journal;Volume 19 , Issue 17, Journal article; Peer reviewed, 2019-04-28)
      Owing to the exponential proliferation of the Internet of Things (IoT), it is anticipated that the number of small IoT devices will grow expeditiously over the next few years. These billions of small IoT sensor and devices ...
    • Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python 

      Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (Advances in Parallel Computing;Volume 36: Parallel Computing: Technology Trends, Journal article; Peer reviewed, 2020)
      In this work, we examine the performance and energy efficiency when using Python for developing HPC codes running on the GPU. We investigate the portability of performance and energy efficiency between CUDA and OpenCL; ...
    • Performance Evaluation and Comparison of Microservices and Serverless Deployments in Cloud 

      Shrestha, Raju; Nisha, Beebu (IEEE International Conference on Smart Cloud (SmartCloud);, Chapter; Peer reviewed; Conference object, 2023)
      Microservices and serverless are arguably the two most widely used architectures today for deploying applications in the cloud. With both these technologies, applications can take advantage of faster delivery, lightweight, ...
    • Performance of cluster-based high availability database in cloud containers 

      Shrestha, Raju (Conference object, 2020)
      Database is an important component in any software application, which enables efficient data management. High availability of databases is critical for an uninterruptible service offered by the application. Virtualization ...
    • Performance of data enhancements and training optimization for neural network: A polyp detection case study 

      Henriksen, Fredrik Lund; Jensen, Rune; Stensland, Håkon Kvale; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (IEEE International Symposium on Computer-Based Medical Systems; 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Conference object, 2019)
      Deep learning using neural networks is becoming more and more popular. It is frequently used in areas like video analysis, image retrieval, traffic forecast and speech recognition. In this respect, the learning and training ...
    • A personality-aware group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Engelstad, Paal E.; Herrera-Viedma, Enrique; Yazidi, Anis (Information Sciences;Volume 595, May 2022, Peer reviewed; Journal article, 2022-02-25)
      Human personality plays a crucial role in decision-making and it has paramount importance when individuals negotiate with each other to reach a common group decision. Such situations are conceivable, for instance, when a ...
    • Perspectives on academic staff involvement in the acquisition and implementation of educational technologies 

      Habib, Laurence; Johannesen, Monica (Teaching in Higher Education;19(5), Journal article; Peer reviewed, 2014-02-05)
      This article presents the results of a study using both quantitative and qualitative data to uncover the extent and nature of the involvement of academic staff in the processes of acquisition and implementation of educational ...
    • Photon waiting-time distributions: A keyhole into dissipative quantum chaos 

      Yusipov, Igor; Vershinina, Olga; Denysov, Sergiy; Ivanchenko, Mikhail (Chaos;Volume 30, Issue 2, Journal article; Peer reviewed, 2020-01-14)
      Open quantum systems can exhibit complex states, for which classification and quantification are still not well resolved. The Kerr-nonlinear cavity, periodically modulated in time by coherent pumping of the intracavity ...
    • A physical interpretation of Hubble’s law and the cosmological redshift from the perspective of a static observer 

      Bræck, Simen; Elgarøy, Øystein (General Relativity and Gravitation;44 (10), Journal article; Peer reviewed, 2012-07-18)
      We derive explicit and exact expressions for the physical velocity of a free particle comoving with the Hubble flow as measured by a static observer, and for the frequency shift of light emitted by a comoving source and ...
    • Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework 

      Yin, Zhong; Zhao, Mengyuan; Zhang, Wei; Wang, Yongxiong; Wang, Yagang; Zhang, Jianhua (Neurocomputing;Volume 347, 28 June 2019, Journal article; Peer reviewed, 2019-02-19)
      Evaluating operator mental workload (MW) in human-machine systems via neurophysiological signals is crucial for preventing unpredicted operator performance degradation. However, the feature of physiological signals is ...
    • Pie Menus or Linear Menus, Which Is Better? 

      Murano, Pietro; Khan, Iram N. (Journal article; Peer reviewed, 2015-09-09)
      This paper is about a continuing investigation aiming to find o ut which menu type is more useable on a web site or application. This paper specifically compares pie menus with li near menus. Although other researchers ...
    • Pivot Model of Policy Entrepreneurship: an application of European ideas in the Global South 

      Giannoumis, G. Anthony; Nthenge, Mirriam; Manhique, Jorge (Chapter; Peer reviewed, 2017)
      Previous research has demonstrated that social institutions – relatively enduring norms, values and procedures important to a society – structure the behavior of policy actors. In addition, theorists have argued that ...
    • A PM 2.5 Forecasting Model Based on Air Pollution and Meteorological Conditions in Neighboring Areas 

      Adrezo, Muhammad; Huang, Yo-Ping; Sandnes, Frode Eika (Communications in Computer and Information Science;Volume 1382, Conference object, 2021-03-15)
      Air pollution has received much attention in recent years, especially in the most densely populated areas. Sources of air pollution include factory emissions, vehicle emissions, building sites, wildfires, wood-burning ...
    • PMData: a sports logging dataset 

      Thambawita, Vajira; Hicks, Steven; Borgli, Hanna; Stensland, Håkon Kvale; Jha, Debesh; Svensen, Martin Kristoffer; Pettersen, Svein Arne; Johansen, Dag; Johansen, Håvard D.; Pettersen, Susann Dahl; Nordvang, Simon; Pedersen, Sigurd; Gjerdrum, Anders Tungeland; Grønli, Tor-Morten; Fredriksen, Per Morten; Eg, Ragnhild; Hansen, Kjeld S.; Fagernes, Siri; Claudi, Christine; Biørn-Hansen, Andreas; Dang Nguyen, Duc Tien; Kupka, Tomas; Hammer, Hugo Lewi; Jain, Ramesh; Riegler, Michael; Halvorsen, Pål (MM: International Multimedia Conference;MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference, Conference object, 2020-05-27)
      In this paper, we present PMData: a dataset that combines traditional lifelogging data with sports-activity data. Our dataset enables the development of novel data analysis and machine-learning applications where, for ...
    • PolyACO+: a multi-level polygon-based ant colony optimisation classifier 

      Goodwin, Morten; Tufteland, Torry; Ødesneltvedt, Guro; Yazidi, Anis (Swarm Intelligence;Volume 11, Issue 3–4, Journal article; Peer reviewed, 2017-12)
      Ant Colony Optimisation for classification has mostly been limited to rule based approaches where artificial ants walk on datasets in order to extract rules from the trends in the data, and hybrid approaches which attempt ...
    • PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps 

      Fagereng, Jan Andre; Thambawita, Vajira L B; Storås, Andrea; Parasa, Sravanthi; de Lange, Thomas; Halvorsen, Pål; Riegler, Michael (Annual IEEE Symposium on Computer-Based Medical Systems;2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), Conference object, 2022)
      Early identification of a polyp in the lower gastrointestinal (GI) tract can lead to prevention of life-threatening colorectal cancer. Developing computer-aided diagnosis (CAD) systems to detect polyps can improve detection ...