Showing 441 - 460 results of 1,434 for search '(( significant decrease decrease ) OR ( significant substantial decrease ))~', query time: 0.36s Refine Results
  1. 441
  2. 442

    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.…”
  3. 443

    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.…”
  4. 444

    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.…”
  5. 445

    Parameter setting table. 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.…”
  6. 446

    DTADH 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.…”
  7. 447

    Ablation 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.…”
  8. 448

    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.…”
  9. 449
  10. 450

    MFDPN 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.…”
  11. 451

    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.…”
  12. 452

    Radar chart comparing indicators. 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.…”
  13. 453

    MFD-YOLO structure. 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.…”
  14. 454

    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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