Search Results - distributed (computing OR competing)

  1. Integrated species distribution modelling system : a user friendly front end to the GARP modelling toolkit by Sutton, T. P.

    Published 2012
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  2. Towards a distributed real-time system for future satellite applications by Rozendaal, A. (Abraham)

    Published 2012
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  3. Latent code manipulation for text-to-image and video synthesis: evaluating generative networks by Masiya, Elvis

    Published 2025
    Subjects: “…Distributed artificial intelligence…”
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  4. A digital twin architecture for a water distribution system by Goosen, Ockert Johann

    Published 2022
    Subjects: “…Water -- Distribution -- Automation…”
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  5. Numerical modelling of wave-induced vertical ship motions at the Port of Richards Bay : calibration and computation of extreme values by Sebopa, Mogau

    Published 2020
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  6. The Effect of Initial Land Distribution on Income Growth and Distribution in Kenya

    Published 2015
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  7. Analysis of clustered competing risks with application to a multicentre clinical trial by Familusi, Mary Ajibola

    Published 2017
    “…Nonetheless, in time-to-event endpoints assessment, if subjects can fail from multiple mutually-exclusive causes, data are said to have competing risks. For competing risks data, the Fine and Gray proportional hazards model for sub-distributions has gained popularity due to its convenience in directly assessing the effect of covariates on the cumulative incidence function. …”
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  8. Enhanced mobile computing using cloud resources by Paverd, Andrew James

    Published 2015
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  9. DDoS defence for service availability in cloud computing by Osanaiye, Opeyemi Ayokunle

    Published 2017
    “…Despite its increased popularity, ensuring security and availability of data, resources and services remains an ongoing research challenge. Distributed Denial of Service (DDoS) attacks are not a new threat but they remain a major security challenge in achieving a secure and guaranteed service and resources in cloud computing. …”
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  10. Parallel computing solutions to the Balitsky-Kovchegov equation by Hillebrand-Viljoen, Charlotte Stephanie

    Published 2016
    “…This necessarily increases the computational demands, both in terms of floating point operations and of storage requirements. …”
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  11. A hybrid peer-to-peer middleware plugin for an existing client/server massively multiplayer online game by Croucher, Darren Armstrong

    Published 2014
    Subjects: “…Distributed Computing…”
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  12. Development of a framework for tracking goods in manufacturing networks using a distributed ledger technology by Dietrich, Fabian Tobias

    Published 2020
    Subjects: “…Distributed ledger technology…”
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  13. Intelligent Distributed Agent Based Architecture

    Published 2013
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  14. The development of a partial school principal competency model by Janse van Vuuren, Jaco

    Published 2015
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  15. Distributed real-time processing using GNU/Linux/libré software and COTS hardware by Van Schalkwyk, Dirko

    Published 2012
    Subjects: “…Embedded computer systems…”
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  16. FATKID : a Finite Automaton Toolkit by Huysamen, Nico

    Published 2012
    Subjects: “…Distributed computation…”
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  17. A unified framework for metering cloud environments by Sobh, Karim

    Published 2016
    “…Cloud computing utilizes the integration of different computing technologies to achieve a utility computing model. …”
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  18. Spectral analysis of neutral evolution by Shorten, David

    Published 2018
    “…However, little progress has been made towards understanding the manner in which the topology of the neutral network influences the resulting population distribution and robustness. In this work, we build on recent results from spectral graph theory and utilize numerical methods to enhance our understanding of how populations distribute themselves over neutral networks. …”
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  19. Small-scale distributed machine learning in R by Taylor, Brenden

    Published 2023
    “…This research outlines the core concepts of distributed computing and provides brief outlines of the more common approaches to parallel and distributed computing in R, with reference to the specific algorithms and aspects of machine learning that are investigated. …”
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