Showing 16,601 - 16,620 results of 27,019 for search '(( 50 ((026 decrease) OR (a decrease)) ) OR ( 50 ((mean decrease) OR (nn decrease)) ))', query time: 0.96s Refine Results
  1. 16601

    File S1 - Impaired Functionality of Antiviral T Cells in G-CSF Mobilized Stem Cell Donors: Implications for the Selection of CTL Donor by Carola E. Bunse (492512)

    Published 2013
    “…After 48 h of storage at 4°C, a mean of 93% (mCMV_pp65_A02, n = 4) and 96% (mCMV_pp65_B07, n = 5) of the frequency in the fresh sample (baseline) was obtained. …”
  2. 16602

    Sequential broadside application of 100 µM FCCP at two separate regions in the same FDB fibre. by Joseph Bruton (635407)

    Published 2014
    “…Red vertical calibration bar in <b>A</b> represents 50 µm.</p>…”
  3. 16603

    HG module schematic. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  4. 16604

    Label data volume and label distribution. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  5. 16605

    The structure of the context guided block. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  6. 16606

    SEnet module. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  7. 16607

    AC-LayeringNetV2 architecture module. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  8. 16608

    Cracks included in the dataset. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  9. 16609

    Loss function comparison plot. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  10. 16610

    Edge device performance benchmarking. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  11. 16611

    Typical error cases. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  12. 16612

    Computational efficiency comparison. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  13. 16613
  14. 16614

    Backbone comparison in crack detection. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  15. 16615

    Statistical analysis table for ablation tests. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  16. 16616

    Summary of false positives and false negatives. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  17. 16617

    PR parameter comparison chart. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  18. 16618

    RAK-Conv. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  19. 16619

    Structure of YOLOv8n. by Wenhao Ren (2561731)

    Published 2025
    “…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”
  20. 16620