Showing 1 - 20 results of 4,890 for search '(( element each algorithm ) OR ((( data processing algorithm ) OR ( solved using algorithm ))))', query time: 0.71s Refine Results
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    The run time for each algorithm in seconds. by Edward Antonian (21453161)

    Published 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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    Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

    Published 2025
    “…Therefore, An Algorithm for Heterogeneous Federated Knowledge Graph (HFKG) is proposed to solve this problem by limiting model drift through comparative learning. …”
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    Results on solving TSS using different evolutionary and greedy algorithms. by Alexander Andreev (16822333)

    Published 2025
    “…<p>Results on solving TSS using different evolutionary and greedy algorithms.…”
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    Algorithms runtime comparison. by Meilin Zhu (688698)

    Published 2025
    “…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”
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    Proposed Algorithm. by Hend Bayoumi (22693738)

    Published 2025
    “…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”
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    Solution results of different algorithms. by Meilin Zhu (688698)

    Published 2025
    “…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”
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