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Showing 21 - 40 results of 1,269 for search '(( relevant data algorithm ) OR ((( element processing algorithm ) OR ( level coding algorithm ))))', query time: 0.69s Refine Results
  1. 21
    The ranking of algorithms with NUM mutation by TOPSIS.

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

    Published 2025
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  2. 22
    The ranking of algorithms with PM mutation by TOPSIS.

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

    Published 2025
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  3. 23
    Convergence curve of the DBO algorithm.

    Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

    Published 2025
    “…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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  4. 24
    Definitions of relevant SSA parameters.

    Definitions of relevant SSA parameters. by Yeping Shi (14279118)

    Published 2024
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  5. 25
    Comparison of the EODA algorithm with existing algorithms in terms of F1-Score.

    Comparison of the EODA algorithm with existing algorithms in terms of F1-Score. by Sunil Kumar (102321)

    Published 2025
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  6. 26
    Schematic diagram of the experimental algorithm.

    Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

    Published 2025
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  7. 27
    Visual line representation of algorithms with NUM mutation.

    Visual line representation of algorithms with NUM mutation. by Jalal- ud-Din (21474307)

    Published 2025
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  8. 28
    Visual line representation of algorithm with PM mutation.

    Visual line representation of algorithm with PM mutation. by Jalal- ud-Din (21474307)

    Published 2025
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  9. 29
    Visual representation of ranks of algorithms with PM mutation.

    Visual representation of ranks of algorithms with PM mutation. by Jalal- ud-Din (21474307)

    Published 2025
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  10. 30
    Visual performance of each algorithm with PM mutation.

    Visual performance of each algorithm with PM mutation. by Jalal- ud-Din (21474307)

    Published 2025
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  11. 31
    Visual performance of each algorithm with MPTM mutation.

    Visual performance of each algorithm with MPTM mutation. by Jalal- ud-Din (21474307)

    Published 2025
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  12. 32
    Visual line representation of algorithm with MPTM mutation.

    Visual line representation of algorithm with MPTM mutation. by Jalal- ud-Din (21474307)

    Published 2025
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  13. 33
    Visual performance of each algorithm with NUM mutation.

    Visual performance of each algorithm with NUM mutation. by Jalal- ud-Din (21474307)

    Published 2025
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  14. 34
    Visual representation of ranks of algorithms with MPTM mutation.

    Visual representation of ranks of algorithms with MPTM mutation. by Jalal- ud-Din (21474307)

    Published 2025
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  15. 35
    Visual representation of ranks of algorithms with NUM mutation.

    Visual representation of ranks of algorithms with NUM mutation. by Jalal- ud-Din (21474307)

    Published 2025
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  16. 36
    Visual parametric framework for all fifteen algorithms.

    Visual parametric framework for all fifteen algorithms. by Jalal- ud-Din (21474307)

    Published 2025
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  17. 37
    Coding schematic.

    Coding schematic. by Dongyan Wang (195482)

    Published 2025
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  18. 38
    Multiclass comparison of algorithms on test data for KDDCup 99.

    Multiclass comparison of algorithms on test data for KDDCup 99. by Arati Behera (19864844)

    Published 2024
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  19. 39
    TreeMap 2016 Stand Size Code Algorithm (Image Service)

    TreeMap 2016 Stand Size Code Algorithm (Image Service) by U.S. Forest Service (17476914)

    Published 2024
    “…format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/datasets/usfs::treemap-2016-stand-size-code-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_StandSizeCode_Algorithm/ImageServer "> ArcGIS GeoService</a></li></ul><div> For complete information, please visit <a href="https://data.gov">https://data.gov</a>.…”
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  20. 40
    Goal relevance.

    Goal relevance. by Maeva El Bouchikhi (20442436)

    Published 2024
    “…They highlighted an important number of ethical issues which could be grouped into five overarching categories: goal relevance, adverse side effects, role of employees, data process, and vagueness. …”
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