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Showing 1 - 20 results of 22 for search 'multiple days detection algorithm', query time: 0.26s Refine Results
  1. 1
    Comparison of Multiple Runs of Same Algorithm on the Same Dataset (NSL-KDD).

    Comparison of Multiple Runs of Same Algorithm on the Same Dataset (NSL-KDD). by Muhammad Rehan Naeem (21432852)

    Published 2025
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  2. 2
    Comparison of Multiple Runs of Same Algorithm on the Same Dataset (Kaggle-RL).

    Comparison of Multiple Runs of Same Algorithm on the Same Dataset (Kaggle-RL). by Muhammad Rehan Naeem (21432852)

    Published 2025
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  3. 3
    Comparison of Multiple Runs of Same Algorithm on the Same Dataset (UNSW-NB15).

    Comparison of Multiple Runs of Same Algorithm on the Same Dataset (UNSW-NB15). by Muhammad Rehan Naeem (21432852)

    Published 2025
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  4. 4
    The set of sleep measures computed by ActiLife, including definitions for each measure and the aggregation methods utilized when multiple sleep periods were detected within the same day.

    The set of sleep measures computed by ActiLife, including definitions for each measure and the aggregation methods utilized when multiple sleep periods were detected within the sam... by Louis Faust (6807728)

    Published 2025
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  5. 5
    Interactions between individuals over three days.

    Interactions between individuals over three days. by Soler Gabriela Bayolo (21011810)

    Published 2025
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  6. 6
    Comparison of posterior predictive distribution results obtained via joint inference (using the GMRF model) for Bernalillo (left), Santa Fe (middle), and Valencia (right) shown on top row with equivalent results from independent inferences for each county separately, on the bottom row; data up to September , 2020 is used and case-count data (shown with black circles) was smoothed with a 7-day running average.

    Comparison of posterior predictive distribution results obtained via joint inference (using the GMRF model) for Bernalillo (left), Santa Fe (middle), and Valencia (right) shown on... by Cosmin Safta (11105442)

    Published 2025
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  7. 7
    Overview of data and command flow in our proposed system’s architecture.

    Overview of data and command flow in our proposed system’s architecture. by Julian Bigge (22331861)

    Published 2025
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  8. 8
    Comparison of periodicity of selected clock mutants.

    Comparison of periodicity of selected clock mutants. by Julian Bigge (22331861)

    Published 2025
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  9. 9
    System overview showing stackable Hatching-Boxes.

    System overview showing stackable Hatching-Boxes. by Julian Bigge (22331861)

    Published 2025
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  10. 10
    Archive containing manufacturing files.

    Archive containing manufacturing files. by Julian Bigge (22331861)

    Published 2025
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  11. 11
    Screenshot a the Hatching-Box server application (HB-server).

    Screenshot a the Hatching-Box server application (HB-server). by Julian Bigge (22331861)

    Published 2025
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  12. 12
    Performance analysis of the trained YOLOv7 models.

    Performance analysis of the trained YOLOv7 models. by Julian Bigge (22331861)

    Published 2025
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  13. 13
    Performance analysis for identity preserving tracking.

    Performance analysis for identity preserving tracking. by Julian Bigge (22331861)

    Published 2025
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  14. 14
    Class confusion evaluation for the trained YOLOv7-tiny model.

    Class confusion evaluation for the trained YOLOv7-tiny model. by Julian Bigge (22331861)

    Published 2025
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  15. 15
    Overview of the proposed hardware architecture.

    Overview of the proposed hardware architecture. by Julian Bigge (22331861)

    Published 2025
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  16. 16
    Spatial distribution of wildtype <i>D. melanogaster</i> in larval and adult stage.

    Spatial distribution of wildtype <i>D. melanogaster</i> in larval and adult stage. by Julian Bigge (22331861)

    Published 2025
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  17. 17
    Infection-rate detector results (top row) compared with the GLR-Poisson detector (bottom row), using data from 2020-06-01 to 2020-09-15.

    Infection-rate detector results (top row) compared with the GLR-Poisson detector (bottom row), using data from 2020-06-01 to 2020-09-15. by Cosmin Safta (11105442)

    Published 2025
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  18. 18
    Comparison of reconstructed infection-rate profiles that underlie the predictions in Fig 6.

    Comparison of reconstructed infection-rate profiles that underlie the predictions in Fig 6. by Cosmin Safta (11105442)

    Published 2025
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  19. 19
    Effect of the estimators (blue), (orange), and the real time of infection (green).

    Effect of the estimators (blue), (orange), and the real time of infection (green). by Soler Gabriela Bayolo (21011810)

    Published 2025
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  20. 20
    The sample drug patterns and relative expression levels of nineteen important peaks.

    The sample drug patterns and relative expression levels of nineteen important peaks. by Tran Duong Thai (20939598)

    Published 2025
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