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Showing 1 - 20 results of 11,541 for search '(( alignment network algorithm ) OR ((( data using algorithm ) OR ( based testing algorithm ))))', query time: 0.56s Refine Results
  1. 1
    The accuracy of anchor-based algorithms using test-set.

    The accuracy of anchor-based algorithms using test-set. by Olarewaju Mubashiru Lawal (14710251)

    Published 2025
    “…<p>The accuracy of anchor-based algorithms using test-set.</p>…”
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  2. 2
    The accuracy of anchor-free algorithms using test-set.

    The accuracy of anchor-free algorithms using test-set. by Olarewaju Mubashiru Lawal (14710251)

    Published 2025
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  3. 3
    Flowchart of the algorithm.

    Flowchart of the algorithm. by Xingan Fu (21594713)

    Published 2025
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  4. 4
    Representative tools using heuristic strategies for network alignment.

    Representative tools using heuristic strategies for network alignment. by Giuseppe Agapito (104634)

    Published 2025
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  5. 5
    Algorithm performance test results.

    Algorithm performance test results. by Yue Guo (695495)

    Published 2025
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  6. 6
    Flowchart of the SSA-based optimization of the BPNN algorithm.

    Flowchart of the SSA-based optimization of the BPNN algorithm. by Yeping Shi (14279118)

    Published 2024
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  7. 7
    HIV testing algorithm KENPHIA 2018.

    HIV testing algorithm KENPHIA 2018. by Raphael O. Ondondo (6429656)

    Published 2024
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  8. 8
    Variables tested in the ML algorithms.

    Variables tested in the ML algorithms. by Gilson Yuuji Shimizu (19837946)

    Published 2024
    “…Data from Beth Israel Deaconess Medical Center (BIDMC), USA, were used for external validation. …”
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  9. 9
    DMTD algorithm.

    DMTD algorithm. by Yunhu Huang (21402795)

    Published 2025
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  10. 10
    Observations that influence the accuracy of the algorithm.

    Observations that influence the accuracy of the algorithm. by Rabnawaz Khan (6509084)

    Published 2025
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  11. 11
    The convergence curve of each optimization algorithm under the test function.

    The convergence curve of each optimization algorithm under the test function. by Hao Yang (328526)

    Published 2025
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  12. 12
    Performance of models by different algorithms.

    Performance of models by different algorithms. by Yong Zhang (5893)

    Published 2025
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  13. 13
    Improve algorithm settings.

    Improve algorithm settings. by Hui Zhao (7395)

    Published 2025
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  14. 14
    Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset.

    Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset. by Jaime B. Matas-Bustos (21772430)

    Published 2025
    “…<p>Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset.…”
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  15. 15
    Comparison of ROI masks generated using different algorithm parameters.

    Comparison of ROI masks generated using different algorithm parameters. by Virgil Christian Garcia Castillo (19688355)

    Published 2024
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  16. 16
    Heuristic approaches for configuring network alignment algorithms.

    Heuristic approaches for configuring network alignment algorithms. by Giuseppe Agapito (104634)

    Published 2025
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  17. 17
    A sinogram of the test sample before and after the dejitter algorithm.

    A sinogram of the test sample before and after the dejitter algorithm. by Hannes Benecke (17409369)

    Published 2025
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  18. 18
    QuanFormer: A Transformer-Based Precise Peak Detection and Quantification Tool in LC-MS-Based Metabolomics

    QuanFormer: A Transformer-Based Precise Peak Detection and Quantification Tool in LC-MS-Based Metabolomics by Zhengyi Zhang (518028)

    Published 2025
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  19. 19
    QuanFormer: A Transformer-Based Precise Peak Detection and Quantification Tool in LC-MS-Based Metabolomics

    QuanFormer: A Transformer-Based Precise Peak Detection and Quantification Tool in LC-MS-Based Metabolomics by Zhengyi Zhang (518028)

    Published 2025
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  20. 20
    Summary of the metrics of the different trained algorithms that performed best in the Testing process for each dataset.

    Summary of the metrics of the different trained algorithms that performed best in the Testing process for each dataset. by Jaime B. Matas-Bustos (21772430)

    Published 2025
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