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Showing 1 - 20 results of 870 for search '(( element data algorithm ) OR ((( current sampling algorithm ) OR ( level coding algorithm ))))', query time: 0.38s Refine Results
  1. 1
    Folder with all data and algorithms

    Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

    Published 2025
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  2. 2
    TFP results of different algorithms at different sampling intervals.

    TFP results of different algorithms at different sampling intervals. by Guozhu Sui (21672798)

    Published 2025
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  3. 3
    Main code.

    Main code. by Jingguo Bi (21439766)

    Published 2025
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  4. 4
    Architecture of the DGAK Module and AKConv Initial Sampling Coordinate Generation Algorithm.

    Architecture of the DGAK Module and AKConv Initial Sampling Coordinate Generation Algorithm. by Siyuan Tang (5963312)

    Published 2025
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  5. 5
    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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  6. 6
    List of the time used by each algorithm.

    List of the time used by each algorithm. by JiaMing Gong (20427837)

    Published 2024
    “…Additionally, we propose a density-based sampling method to improve the accuracy of classifying minority class samples into high quality samples and common samples via the density of similar samples. …”
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  7. 7
    Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025)

    Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025) by Brian Bockelman (5128082)

    Published 2025
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  8. 8
    Chromosome coding.

    Chromosome coding. by Junjie He (700642)

    Published 2024
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  9. 9
    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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  10. 10
    The code for sample size calculation.

    The code for sample size calculation. by Ying Zhou (25031)

    Published 2025
    “…We collected basic clinical data and multimodal ultrasound data from these patients as predictive features, with clinical pregnancy as the predictive label, for model training. …”
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  11. 11
    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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  12. 12
    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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  13. 13
    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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  14. 14
    Performance of algorithms outside the training species.

    Performance of algorithms outside the training species. by Sven B. Gould (12237287)

    Published 2024
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  15. 15
    Comparison of raw curves with different sampling intervals and smoothed curves.

    Comparison of raw curves with different sampling intervals and smoothed curves. by Guozhu Sui (21672798)

    Published 2025
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  16. 16
    The relative importance of features for predicting current dementia.

    The relative importance of features for predicting current dementia. by Wonseok Jeong (5777678)

    Published 2025
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  17. 17
    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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  18. 18
    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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  19. 19
    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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  20. 20
    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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