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Showing 1 - 20 results of 36 for search '(( binary all from optimization algorithm ) OR ( binary task driven optimization algorithm ))*', query time: 0.57s Refine Results
  1. 1
    Homomorphic binary tree.

    Homomorphic binary tree. by Jianhua He (341366)

    Published 2024
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  2. 2
    Image1_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG

    Image1_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG by Wisnu Ananta Kusuma (9276182)

    Published 2022
    “…To show the performance of the proposed method, we compared our method with a complete search algorithm, searching all nodes in the tree without pruning. …”
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  3. 3
    Image2_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG

    Image2_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG by Wisnu Ananta Kusuma (9276182)

    Published 2022
    “…To show the performance of the proposed method, we compared our method with a complete search algorithm, searching all nodes in the tree without pruning. …”
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  4. 4
    Image4_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.jpg

    Image4_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.jpg by Wisnu Ananta Kusuma (9276182)

    Published 2022
    “…To show the performance of the proposed method, we compared our method with a complete search algorithm, searching all nodes in the tree without pruning. …”
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  5. 5
    Image5_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.jpg

    Image5_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.jpg by Wisnu Ananta Kusuma (9276182)

    Published 2022
    “…To show the performance of the proposed method, we compared our method with a complete search algorithm, searching all nodes in the tree without pruning. …”
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  6. 6
    Image3_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG

    Image3_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG by Wisnu Ananta Kusuma (9276182)

    Published 2022
    “…To show the performance of the proposed method, we compared our method with a complete search algorithm, searching all nodes in the tree without pruning. …”
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  7. 7
    DataSheet1_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.docx

    DataSheet1_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.docx by Wisnu Ananta Kusuma (9276182)

    Published 2022
    “…To show the performance of the proposed method, we compared our method with a complete search algorithm, searching all nodes in the tree without pruning. …”
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  8. 8
    Supplementary Material for: Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes

    Supplementary Material for: Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes by Yu Y. (3096192)

    Published 2022
    “…Introduction: Increasingly, logistic regression methods for genetic association studies of binary phenotypes must be able to accommodate data sparsity, which arises from unbalanced case-control ratios and/or rare genetic variants. …”
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  9. 9
    Optimal Timings Codebook.xlsx

    Optimal Timings Codebook.xlsx by Emma Spillane (11249121)

    Published 2021
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  10. 10
    SHAP bar plot.

    SHAP bar plot. by Meng Cao (105914)

    Published 2025
    “…</p><p>Methods</p><p>A total of 415 CKD patients from the 2015 China Health and Retirement Longitudinal Survey (CHARLS) dataset were included in this study. …”
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  11. 11
    Sample screening flowchart.

    Sample screening flowchart. by Meng Cao (105914)

    Published 2025
    “…</p><p>Methods</p><p>A total of 415 CKD patients from the 2015 China Health and Retirement Longitudinal Survey (CHARLS) dataset were included in this study. …”
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  12. 12
    Descriptive statistics for variables.

    Descriptive statistics for variables. by Meng Cao (105914)

    Published 2025
    “…</p><p>Methods</p><p>A total of 415 CKD patients from the 2015 China Health and Retirement Longitudinal Survey (CHARLS) dataset were included in this study. …”
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  13. 13
    SHAP summary plot.

    SHAP summary plot. by Meng Cao (105914)

    Published 2025
    “…</p><p>Methods</p><p>A total of 415 CKD patients from the 2015 China Health and Retirement Longitudinal Survey (CHARLS) dataset were included in this study. …”
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  14. 14
    ROC curves for the test set of four models.

    ROC curves for the test set of four models. by Meng Cao (105914)

    Published 2025
    “…</p><p>Methods</p><p>A total of 415 CKD patients from the 2015 China Health and Retirement Longitudinal Survey (CHARLS) dataset were included in this study. …”
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  15. 15
    Display of the web prediction interface.

    Display of the web prediction interface. by Meng Cao (105914)

    Published 2025
    “…</p><p>Methods</p><p>A total of 415 CKD patients from the 2015 China Health and Retirement Longitudinal Survey (CHARLS) dataset were included in this study. …”
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  16. 16
    Optimal Time Intervals of Breech Births Dataset

    Optimal Time Intervals of Breech Births Dataset by Emma Spillane (11249121)

    Published 2021
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  17. 17
    Analysis and design of algorithms for the manufacturing process of integrated circuits

    Analysis and design of algorithms for the manufacturing process of integrated circuits by Sonia Fleytas (16856403)

    Published 2023
    “…Additionally, the results obtained from our new ILP model indicate that our genetic algorithm results are very close to the optimal values.…”
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  18. 18
    Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans.

    Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. by Ramsés Noguez Imm (6658637)

    Published 2023
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  19. 19
    Programs to evaluate superoptimizer STOKE.

    Programs to evaluate superoptimizer STOKE. by Przemysław Kowalewski (12893507)

    Published 2022
    “…The searching algorithm of STOKE is not always able to find programs that are at least as efficient as programs optimized by gcc -O3. …”
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  20. 20
    A new fast filtering algorithm for a 3D point cloud based on RGB-D information

    A new fast filtering algorithm for a 3D point cloud based on RGB-D information by Chaochuan Jia (7256237)

    Published 2019
    “…This method aligns the color image to the depth image, and the color mapping image is converted to an HSV image. Then, the optimal segmentation threshold of the V image that is calculated by using the Otsu algorithm is applied to segment the color mapping image into a binary image, which is used to extract the valid point cloud from the original point cloud with outliers. …”
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