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Showing 1 - 20 results of 54 for search '(( binary base codon optimization algorithm ) OR ( binary data cell detection algorithm ))', query time: 0.50s Refine Results
  1. 1
    The classification algorithm flow chart for binary classification among NC, EMCI, LMCI and AD groups.

    The classification algorithm flow chart for binary classification among NC, EMCI, LMCI and AD groups. by Qian Zhang (49333)

    Published 2022
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  2. 2
    Key steps in neurodegeneration detection algorithm.

    Key steps in neurodegeneration detection algorithm. by Andrew S. Clark (16510496)

    Published 2023
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  3. 3
    Particle tracking validation of the S8 algorithm.

    Particle tracking validation of the S8 algorithm. by Jennifer M. Knighten (15453354)

    Published 2023
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  4. 4
    For each classification algorithm, the classification accuracies for binary subject groups NC versus EMCI, NC versus LEMC, EMCI versus LEMC, EMCI versus AD, LMCI versus AD, AD versus NC.

    For each classification algorithm, the classification accuracies for binary subject groups NC versus EMCI, NC versus LEMC, EMCI versus LEMC, EMCI versus AD, LMCI versus AD, AD vers... by Qian Zhang (49333)

    Published 2022
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  5. 5
    Community Detection with Heterogeneous Block Covariance Model

    Community Detection with Heterogeneous Block Covariance Model by Xiang Li (114679)

    Published 2025
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  6. 6
    Cell classification.

    Cell classification. by Adam L. Tyson (10892822)

    Published 2021
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  7. 7
    Effect of different randomization constraints on pattern detection.

    Effect of different randomization constraints on pattern detection. by Zachary P. Neal (9946331)

    Published 2024
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  8. 8
    A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Proportional, <i>P</i>), or unconstrained (Equiprobable, <i>E</i>).

    A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... by Zachary P. Neal (9946331)

    Published 2024
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  9. 9
    The tissue detection pipeline.

    The tissue detection pipeline. by Andrea Bizzego (6519749)

    Published 2019
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  10. 10
    The illustration depicts our CQ-CNN architecture for binary image classification.

    The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

    Published 2025
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  11. 11
    Association between maxillary protrusion and oral habits.

    Association between maxillary protrusion and oral habits. by Kengo Oka (1420585)

    Published 2025
    Subjects: “…Cell Biology…”
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  12. 12
    Association between crowding and oral habits.

    Association between crowding and oral habits. by Kengo Oka (1420585)

    Published 2025
    Subjects: “…Cell Biology…”
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  13. 13
    Guide frame that appears on the smartphone application.

    Guide frame that appears on the smartphone application. by Kengo Oka (1420585)

    Published 2025
    Subjects: “…Cell Biology…”
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  14. 14
    Association between deep bite and oral habits.

    Association between deep bite and oral habits. by Kengo Oka (1420585)

    Published 2025
    Subjects: “…Cell Biology…”
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  15. 15
    Performance metrics of the logistic regression models on the test dataset.

    Performance metrics of the logistic regression models on the test dataset. by Kengo Oka (1420585)

    Published 2025
    Subjects: “…Cell Biology…”
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  16. 16
    Explicability results of the deep bite classification model.

    Explicability results of the deep bite classification model. by Kengo Oka (1420585)

    Published 2025
    Subjects: “…Cell Biology…”
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  17. 17
    Representative photographic image.

    Representative photographic image. by Kengo Oka (1420585)

    Published 2025
    Subjects: “…Cell Biology…”
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  18. 18
    Explicability results of the crowding classification model.

    Explicability results of the crowding classification model. by Kengo Oka (1420585)

    Published 2025
    Subjects: “…Cell Biology…”
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  19. 19
    Breakdown of participants by residential area.

    Breakdown of participants by residential area. by Kengo Oka (1420585)

    Published 2025
    Subjects: “…Cell Biology…”
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  20. 20
    Explicability results of the maxillary protrusion classification model.

    Explicability results of the maxillary protrusion classification model. by Kengo Oka (1420585)

    Published 2025
    Subjects: “…Cell Biology…”
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