يعرض 1 - 20 نتائج من 5,316 نتيجة بحث عن '(((( data processing algorithm ) OR ( based making algorithm ))) OR ( element each algorithm ))*', وقت الاستعلام: 0.59s تنقيح النتائج
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    The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

    منشور في 2025
    "…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"
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    Algorithms runtime comparison. حسب Meilin Zhu (688698)

    منشور في 2025
    "…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"
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    Proposed Algorithm. حسب Hend Bayoumi (22693738)

    منشور في 2025
    "…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"
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    Solution results of different algorithms. حسب Meilin Zhu (688698)

    منشور في 2025
    "…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"
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    Evaluation of model aggregation algorithms. حسب JiaMing Wang (334865)

    منشور في 2024
    "…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …"
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    Comparison of homomorphic encryption algorithms. حسب JiaMing Wang (334865)

    منشور في 2024
    "…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …"
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