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Showing 1 - 20 results of 9,691 for search '(( relevant data algorithm ) OR ((( data modelling algorithm ) OR ( level coding algorithm ))))', query time: 0.74s Refine Results
  1. 1
    Data generation algorithm.

    Data generation algorithm. by Aluwani Ramalata (21262977)

    Published 2025
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  2. 2
    Genetic Algorithm IQA Data

    Genetic Algorithm IQA Data by Michael Anastasios Mardikes (21762611)

    Published 2025
    Subjects: “…Modelling and simulation…”
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  3. 3
    Comparison of the EODA algorithm with existing algorithms in terms of recall.

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

    Published 2025
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  4. 4
    Comparison of the EODA algorithm with existing algorithms in terms of precision.

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

    Published 2025
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  5. 5
    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. 6
    Model-relevant variable data for external patients.

    Model-relevant variable data for external patients. by Lei Gao (6566)

    Published 2025
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  7. 7
    The relevant code in the manuscript can be found in the supporting information data file.

    The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

    Published 2025
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  8. 8
    The proposed algorithm of the outlier detection method.

    The proposed algorithm of the outlier detection method. by Sunil Kumar (102321)

    Published 2025
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  9. 9
    Structure of the Kuhn-Munkres Algorithm.

    Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

    Published 2025
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  10. 10
    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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  11. 11
    The AUC of each model was calculated using 113 ML algorithm.

    The AUC of each model was calculated using 113 ML algorithm. by Xuefen Lin (17785367)

    Published 2025
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  12. 12
    Relevant data underlying the findings described in manuscript.

    Relevant data underlying the findings described in manuscript. by Lin Qi (128224)

    Published 2025
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  13. 13
    User satisfaction scores for different algorithms.

    User satisfaction scores for different algorithms. by Qingnan Ji (22662198)

    Published 2025
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  14. 14
    Performance of different machine learning algorithms.

    Performance of different machine learning algorithms. by Apichat Suratanee (634281)

    Published 2024
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  15. 15
    Data Sheet 1_Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention.pdf

    Data Sheet 1_Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention.pdf by Wen Guan (5612195)

    Published 2025
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  16. 16
    Illustration of the Noisy Student algorithm proposed by [30].

    Illustration of the Noisy Student algorithm proposed by [30]. by Martin Wutke (19786999)

    Published 2024
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  17. 17
    Flow chart of improved annealing genetic synthesis algorithm.

    Flow chart of improved annealing genetic synthesis algorithm. by Wanjun Zhang (496858)

    Published 2025
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  18. 18
    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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  19. 19
    The frequency of MRGs observed in the 113 algorithm combinations(A).

    The frequency of MRGs observed in the 113 algorithm combinations(A). by Xuefen Lin (17785367)

    Published 2025
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  20. 20
    Covering solutions from running the genetic algorithm with different optimal hyperparameters.

    Covering solutions from running the genetic algorithm with different optimal hyperparameters. by Bettina Soós (10860933)

    Published 2025
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