Showing 1 - 20 results of 3,080 for search '(((( data making algorithm ) OR ( solved using algorithms ))) OR ( element method algorithm ))', query time: 0.27s Refine Results
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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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    DataSheet1_Improving the convergence of an iterative algorithm for solving arbitrary linear equation systems using classical or quantum binary optimization.pdf by Erick R. Castro (11243697)

    Published 2024
    “…<p>Recent advancements in quantum computing and quantum-inspired algorithms have sparked renewed interest in binary optimization. …”
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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
    “…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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    Solution results of different algorithms. by Meilin Zhu (688698)

    Published 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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    Comparison of algorithm performance aesults. by Chunjuan Li (7890182)

    Published 2025
    “…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”