Now showing items 365-384 of 933

    • Genetic Algorithms For Tightening Security 

      Palumbo, Fabrizio; Buji, Adam; Yazidi, Anis; Haugerud, Hårek (Chapter; Peer reviewed; Conference object, 2022)
      Proper configuration of operating systems and program parameters is known to be a key security factor in order to remove vulnerabilities. It is known that vulnerabilities can be caused by a human misconfiguration or by an ...
    • Gesture-Based Applications for Elderly People 

      Chen, Weiqin (Lecture Notes in Computer Science;4, Journal article; Peer reviewed, 2013)
      According to the literature, normal ageing is associated with a decline in sensory, perceptual, motor and cognitive abilities. When designing applications for elderly people, it is crucial to take into consideration the ...
    • A glimpse into smartphone screen reader use among blind teenagers in rural Nepal 

      Sankhi, Prakash; Sandnes, Frode Eika (Disability and Rehabilitation: Assistive Technology;, Academic article, 2020-09-12)
      Purpose: Access to appropriate assistive technology is a challenge worldwide and especially in low GDPper-capita countries. Nepal is one example of a country with several coinciding challenges: some claim having a high ...
    • Global lead-lag changes between climate variability series coincide with major phase shifts in the Pacific decadal oscillation 

      Seip, Knut Lehre; Grøn, Øyvind Geelmuyden; Wang, Hui (Peer reviewed; Journal article, 2023)
      We show that there are distinct periods when three ocean variability series in the Atlantic and the Pacific Oceans persistently lead or lag each other, as well as distinct periods when ocean variability series lead the ...
    • Gluco Coach—A Self-Management Application for Type 2 Diabetes Mellitus: User testing to understand comfort levels and sustained patient engagement 

      Bong, Way Kiat; Jagannath Das, Kuthethur Sneha; Janszen, Felix (eTELEMED;2022: The Fourteenth International Conference on eHealth, Telemedicine, and Social Medicine, Conference object, 2022)
      The increase in the number of patients with type 2 diabetes mellitus is a global concern. Using information and communications technologies, particularly mobile applications, to empower patients with remote self-management ...
    • GPU Computing with Python: Performance, Energy Efficiency and Usability 

      Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (Computation;Volume 8, Issue 1, Journal article; Peer reviewed, 2020-01-06)
      In this work, we examine the performance, energy efficiency, and usability when using Python for developing high-performance computing codes running on the graphics processing unit (GPU). We investigate the portability of ...
    • A graph neural approach for group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Viedma, Enrique Herrera; Engelstad, Paal E.; Djenouri, Youcef; Yazidi, Anis (Peer reviewed; Journal article, 2024)
      Pairwise preference information, which involves users expressing their preferences by comparing items, plays a crucial role in decision-making and has recently found application in recommendation systems. In this study, ...
    • A graph-based approach for representing, integrating and analysing neuroscience data: the case of the murine basal ganglia 

      Parnas Gulnes, Maren; Soylu, Ahmet; Roman, Dumitru (Data Technologies and Applications;, Peer reviewed; Journal article, 2021-11-01)
      Purpose: Neuroscience data is spread across a variety of sources, typically provisioned through ad-hoc and non-standard approaches and formats, and often has no connection to the related data sources. These make it difficult ...
    • Gravitational Entropy and Inflation 

      Elgarøy, Øystein; Grøn, Øyvind (Entropy;15 (9), Journal article; Peer reviewed, 2013-09-04)
      The main topic of this paper is a description of the generation of entropy at the end of the inflationary era. As a generalization of the present standard model of the Universe dominated by pressureless dust and a Lorentz ...
    • GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos 

      Monakhov, Vladimir; Thambawita, Vajira L B; Halvorsen, Pål; Riegler, Michael (Peer reviewed; Journal article, 2023)
      The interest in video anomaly detection systems that can detect different types of anomalies, such as violent behaviours in surveillance videos, has gained traction in recent years. The current approaches employ deep ...
    • Hadoop mapreduce scheduling paradigms 

      Johannessen, Roger; Yazidi, Anis; Feng, Boning (Chapter; Peer reviewed, 2017)
      Apache Hadoop is one of the most prominent and early technologies for handling big data. Different scheduling algorithms within the framework of Apache Hadoop were developed in the last decade. In this paper, we attempt ...
    • Hallmarks of Criticality in Neuronal Networks Depend on Cell Type and the Temporal Resolution of Neuronal Avalanches 

      Heiney, Kristine; Valderhaug, Vibeke Devold; Huse Ramstad, Ola; Sandvig, Ioanna; Sandvig, Axel; Nichele, Stefano (International Journal of Unconventional Computing;Volume 16, Number 4 (2021), Peer reviewed; Journal article, 2021)
      The human brain has a remarkable capacity for computation, and it has been theorized that this capacity arises from the brain self-organizing into the critical state, a dynamical state poised between ordered and dis- ordered ...
    • Handle Diameter and the Influence on the Ergonomics of Crutches 

      Bertolaccini, Guilherme S.; Vasquez, Melissa Marin; Bianchi, Ana Carolina; Sandnes, Frode Eika; Paschoarelli, Luis C.; Medola, Fausto Orsi (Chapter; Peer reviewed, 2017)
      The research in the field of ergonomics can contribute to the design process of Assistive Technologies using objective and subjective data measurements. The auxiliary crutches are assistive devices commonly ...
    • Head-Mounted Augmented Reality Displays on the Cheap: A DIY Approach to Sketching and Prototyping Low-Vision Assistive Technologies 

      Sandnes, Frode Eika; Eika, Evelyn (Journal article; Peer reviewed, 2017)
      Several wearable augmented reality devices have emerged in recent years. Although these devices target users with 20/20 vision, they have also been explored as low vision aids. However, such devices are still relatively ...
    • Heterogeneities in electricity grids strongly enhance non-Gaussian features of frequency fluctuations under stochastic power input 

      Wolff, Matthias; Schmietendorf, Katrin; Lind, Pedro; Kamps, Oliver; Peinke, Joachim; Maass, Philipp (Chaos;Volume 29, Issue 10, Journal article; Peer reviewed, 2019-10-08)
      Stochastic feed-in of fluctuating renewable energies is steadily increasing in modern electricity grids, and this becomes an important risk factor for maintaining power grid stability. Here, we study the impact of wind ...
    • Heuristic evaluations of the accessibility of learning management systems (LMSs) as authoring tools for teachers 

      Chen, Weiqin; Sanderson, Norun Christine; Kessel, Siri; Królak, Aleksandra (Journal article; Peer reviewed, 2015)
      With the development of e-education and e-society it is important for information and communication systems and services to be equally accessible to all users, including people with disabilities. Learning Management Systems ...
    • HIDE: Short IDs for Robust and Anonymous Linking of Users Across Multiple Sessions in Small HCI Experiments 

      Sandnes, Frode Eika (Conference on Human Factors in Computing Systems;CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, Conference object, 2021-05-08)
      Record linking is needed to analyze observations across multiple sessions. However, recent privacy legislature such as the General Data Protection Regulations (GDPR) restricts the storage of information that identify ...
    • The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions 

      Yazidi, Anis; Zhang, Xuan; Lei, Jiao; Oommen, John (Chapter; Peer reviewed, 2018-05-22)
      Although the field of Learning Automata (LA) has made significant progress in the last four decades, the LA-based methods to tackle problems involving environments with a large number of actions are, in reality, relatively ...
    • The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions 

      Yazidi, Anis; Zhang, Xuan; Lei, Jiao; Oommen, John (IEEE Transactions on Neural Networks and Learning Systems;Volume: 31, Issue: 2, Journal article; Peer reviewed, 2019)
      Although the field of learning automata (LA) has made significant progress in the past four decades, the LA-based methods to tackle problems involving environments with a large number of actions is, in reality, relatively ...
    • Hierarchical MPC of Hybrid Power Systems based on Fuzzy Discrete Abstraction 

      Zhang, Jianhua; Xia, Jiajun (IFAC-PapersOnLine;Volume 53, Issue 2, 2020, Peer reviewed; Journal article, 2020-04-14)
      A hierarchical control approach is proposed for hybrid systems with discrete-valued input based on fuzzy discrete abstraction and model predictive control (MPC) scheme. The system is firstly abstracted to a discrete event ...