Search Results - parallel application during algorithm*

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    Effective software fault localization based on complex network theory / Abubakar Zakari by Abubakar , Zakari

    Published 2019
    “…This has led researchers to adopt approaches such as one bug-at-a-time debugging approach (OBA) and parallel debugging approach. However, using OBA debugging approach increases software time-to-delivery and potentially leads to more faults during regression testing, while utilizing k-mean clustering algorithm with Euclidean distance metric to group failed tests based on their execution profile similarity in parallel debugging approach is claimed to be problematic and inappropriate. …”
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    Thesis
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    New algorithm for gyroless spacecraft angular rate Estimation and its application by Abdelrahman, Mohammad, Samaan, Malak A.

    Published 2006
    “…The study is concluded by the application of the concept of estimating the angular velocity vector during the detumbling mode of a spacecraft. …”
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    Article
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    Agro-ento bioinformation: towards the edge of reality by Syed Hassan, Syed Tajuddin

    Published 2002
    “…The protocols range from the molecular levels to domains of larger dimensions such as those encompassing fraternities of politics and policies, and societal applications. These protocols, algorithms, and visualisations undergo dynamic incubation processes to produce the end product, which is bioinformation. …”
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    Inaugural Lecture
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    Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System by Abidin, Zulkifli Zainal

    Published 2013
    “…In this thesis, a simple framework and methodology in developing a bio-inspired algorithm for cooperative swarming robotic application has been developed. …”
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    Thesis
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    Unified GPU Technique to Boost Confidentiality, Integrity and Trim Data Loss in Big Data Transmission by Bhattacharjee, S., Rahim, L.B.A., Watada, J., Roy, A.

    Published 2020
    “…Additionally, the implementation of the proposed innovative integrated technique in the graphics processing unit (GPU) environment increases the execution speed and reduces time complexity with extended parallel processing power. Furthermore, the application of a GPU enhances the execution speed at least 28-fold compared to the CPU performance. …”
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    Article