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Showing 1 - 20 results of 304 for search 'multiple code ((selection algorithm) OR (detection algorithm))', query time: 0.40s Refine Results
  1. 1
    Tag shift detection algorithm.

    Tag shift detection algorithm. by Ding Zhang (179432)

    Published 2022
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  2. 2
    The Pseudo-Code of the IRBMO Algorithm.

    The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

    Published 2025
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  3. 3
    Simulation results by genetic algorithms (GAs).

    Simulation results by genetic algorithms (GAs). by Yuji Omachi (15307241)

    Published 2023
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  4. 4
    Codes.

    Codes. by Yunlin Li (6049214)

    Published 2022
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  5. 5
    Predicted sensitivity, specificity, PPV, and NPV of the four algorithms (a, b) and algorithms combinations (c, d) under Model-3 in the primary analysis.

    Predicted sensitivity, specificity, PPV, and NPV of the four algorithms (a, b) and algorithms combinations (c, d) under Model-3 in the primary analysis. by Jia Wei (120974)

    Published 2025
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  6. 6
    Proportion of positive results in each algorithm and latent prevalences by year.

    Proportion of positive results in each algorithm and latent prevalences by year. by Jia Wei (120974)

    Published 2025
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  7. 7
    Algorithm parameter settings employed in the experiments on simulated data.

    Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

    Published 2024
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  8. 8
    Pseudo Code of RBMO.

    Pseudo Code of RBMO. by Chenyi Zhu (9383370)

    Published 2025
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  9. 9
    Hybrid program code written in C++.

    Hybrid program code written in C++. by Jesse Kreger (8570958)

    Published 2021
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  10. 10
    Spatial transcriptomics (ST) and single-cell atlases of multiple human tissues.

    Spatial transcriptomics (ST) and single-cell atlases of multiple human tissues. by Huamei Li (8815955)

    Published 2025
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  11. 11
    Multiple sequence alignment of the <i>Strumpellin</i> coding sequences performed by Geneious v.3.6.2 program.

    Multiple sequence alignment of the <i>Strumpellin</i> coding sequences performed by Geneious v.3.6.2 program. by Yusr Saadi-Ben Aoun (20469385)

    Published 2024
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  12. 12
    Comparison of YOLOv5s and our method detection results.

    Comparison of YOLOv5s and our method detection results. by Jie Yang (121778)

    Published 2023
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  13. 13
    Proportion of positive results in each algorithm and latent prevalences by age (a) and comorbidity (b) groups.

    Proportion of positive results in each algorithm and latent prevalences by age (a) and comorbidity (b) groups. by Jia Wei (120974)

    Published 2025
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  14. 14
    Trace plots of estimated prevalence, sensitivity, and specificity of each algorithm of Model-3 in the primary analysis.

    Trace plots of estimated prevalence, sensitivity, and specificity of each algorithm of Model-3 in the primary analysis. by Jia Wei (120974)

    Published 2025
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  15. 15
    The gene network of the epistatic interactions detected for Bipolar Disorder.

    The gene network of the epistatic interactions detected for Bipolar Disorder. by Liyan Sun (760586)

    Published 2024
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  16. 16
    The SNP network of the epistatic interactions detected for Bipolar Disorder.

    The SNP network of the epistatic interactions detected for Bipolar Disorder. by Liyan Sun (760586)

    Published 2024
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  17. 17
    Distribution of original measurements (blue line) and imputed measurements (red line) for missing values using multiple imputation with chain equation (MICE).

    Distribution of original measurements (blue line) and imputed measurements (red line) for missing values using multiple imputation with chain equation (MICE). by Jia Wei (120974)

    Published 2025
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  18. 18
    Observed and predicted frequency of each algorithm combination of community-acquired pneumonia (CAP) in Model-3 in the primary analysis.

    Observed and predicted frequency of each algorithm combination of community-acquired pneumonia (CAP) in Model-3 in the primary analysis. by Jia Wei (120974)

    Published 2025
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  19. 19
    Posterior predicted sensitivity, specificity, PPV, NPV for each algorithm combination under the ‘AND’ rule and ‘OR’ rule in Model-3 in the primary analysis.

    Posterior predicted sensitivity, specificity, PPV, NPV for each algorithm combination under the ‘AND’ rule and ‘OR’ rule in Model-3 in the primary analysis. by Jia Wei (120974)

    Published 2025
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  20. 20
    Entry Point byte frequency

    Entry Point byte frequency by Paul A. Gagniuc (1818325)

    Published 2025
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