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Showing 1 - 20 results of 811 for search '(((( experiments each algorithm ) OR ( complement mean algorithm ))) OR ( level coding algorithm ))', query time: 0.34s Refine Results
  1. 1
    Comparative results of each algorithm in comparative experiment.

    Comparative results of each algorithm in comparative experiment. by Junhao Wei (6816803)

    Published 2025
    “…<p>Comparative results of each algorithm in comparative experiment.</p>…”
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  2. 2
    Path length variation diagram of each algorithm.

    Path length variation diagram of each algorithm. by Yun Qi (560401)

    Published 2025
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  3. 3
    Simulation results of each algorithm path map.

    Simulation results of each algorithm path map. by Yun Qi (560401)

    Published 2025
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  4. 4
    Specific parameters of each model and ablation experiments.

    Specific parameters of each model and ablation experiments. by Shiwei Yu (6060308)

    Published 2025
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  5. 5
    Reward outcomes for each combination of task cue and policy in the experiment.

    Reward outcomes for each combination of task cue and policy in the experiment. by Sam Hall-McMaster (10343795)

    Published 2025
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  6. 6
    The detection accuracy of each ablation experiment.

    The detection accuracy of each ablation experiment. by Qian Shen (89639)

    Published 2025
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  7. 7
    Performance comparison results of each algorithm model.

    Performance comparison results of each algorithm model. by Shiya Gao (12693389)

    Published 2025
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  8. 8
    Parameters of each algorithm.

    Parameters of each algorithm. by Nanqi Li (11640083)

    Published 2025
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  9. 9
    Algorithm optimization experiment matrix.

    Algorithm optimization experiment matrix. by Gabriel Galeote-Checa (20613878)

    Published 2025
    “…<p>Optimization matrix for the two algorithms. Combinations for each of the parameters of the algorithm and experiments.…”
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  10. 10
    Main code.

    Main code. by Jingguo Bi (21439766)

    Published 2025
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  11. 11
    UIQI of the results of each algorithm.

    UIQI of the results of each algorithm. by Haiyan Zhang (176919)

    Published 2025
    “…To verify the superiority of the algorithm, we selected Bilateral, NLM, Kuan, Lee, Lee-Enhanced, and Lee-Sigma as comparison algorithms. …”
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  12. 12
    PSNR of the results of each algorithm.

    PSNR of the results of each algorithm. by Haiyan Zhang (176919)

    Published 2025
    “…To verify the superiority of the algorithm, we selected Bilateral, NLM, Kuan, Lee, Lee-Enhanced, and Lee-Sigma as comparison algorithms. …”
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  13. 13
    Running time of each algorithm.

    Running time of each algorithm. by Haiyan Zhang (176919)

    Published 2025
    “…To verify the superiority of the algorithm, we selected Bilateral, NLM, Kuan, Lee, Lee-Enhanced, and Lee-Sigma as comparison algorithms. …”
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  14. 14
    Heatmap of Jaccard similarity between each algorithm and the top 15 nodes of SIR.

    Heatmap of Jaccard similarity between each algorithm and the top 15 nodes of SIR. by Feifei Wang (195514)

    Published 2025
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  15. 15
    Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm.

    Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

    Published 2024
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  16. 16
    The optimal water-injection rate obtained by each algorithm for the three-channel model.

    The optimal water-injection rate obtained by each algorithm for the three-channel model. by Yang Gao (18005)

    Published 2025
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  17. 17
    The optimal liquid-production rate obtained by each algorithm for the three-channel model.

    The optimal liquid-production rate obtained by each algorithm for the three-channel model. by Yang Gao (18005)

    Published 2025
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  18. 18
    Chromosome coding.

    Chromosome coding. by Junjie He (700642)

    Published 2024
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  19. 19
    Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS)

    Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) by bowen pang (21837359)

    Published 2025
    “…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …”
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  20. 20
    The ranking of algorithms with MPTM mutation by TOPSIS.

    The ranking of algorithms with MPTM mutation by TOPSIS. by Jalal- ud-Din (21474307)

    Published 2025
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