Showing 2,361 - 2,380 results of 21,342 for search '(( significant reductions decrease ) OR ( significant decrease decrease ))', query time: 0.51s Refine Results
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  9. 2369

    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.…”
  10. 2370

    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.…”
  11. 2371

    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.…”
  12. 2372

    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.…”
  13. 2373

    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.…”
  14. 2374

    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.…”
  15. 2375

    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.…”
  16. 2376

    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.…”
  17. 2377

    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.…”
  18. 2378

    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.…”
  19. 2379

    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.…”
  20. 2380

    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.…”