Showing 1 - 20 results of 202 for search '(( significant ((sizes decrease) OR (a decrease)) ) OR ( significant detection based ))~', query time: 0.82s Refine Results
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    Detection effect of different sizes. by Bo Tong (2138632)

    Published 2025
    “…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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    Multi scale detection. by Bo Tong (2138632)

    Published 2025
    “…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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    Detection results of each category. by Bo Tong (2138632)

    Published 2025
    “…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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    Costs and Benefits of Popular <i>P</i>‑Value Correction Methods in Three Models of Quantitative Omic Experiments by Steven R. Shuken (14500192)

    Published 2023
    “…We show how increasing sample size, decreasing variability, or increasing effect size can enable the detection of all true changes while still correcting <i>p</i>-values, and we present basic guidelines for omic experimental design. …”
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    Backbone comparison in crack detection. by Wenhao Ren (2561731)

    Published 2025
    “…Additionally, the model achieves a 6.55% reduction in size and a 0.03% decrease in computational complexity. …”
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    MGPC module. by Bo Tong (2138632)

    Published 2025
    “…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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    Comparative experiment. by Bo Tong (2138632)

    Published 2025
    “…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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    Pruning experiment. by Bo Tong (2138632)

    Published 2025
    “…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”