Showing 4,121 - 4,140 results of 21,342 for search '(( significance levels decrease ) OR ( significant decrease decrease ))', query time: 0.53s Refine Results
  1. 4121

    DHIMS2 data quality over time. by Amos Asiedu (4996946)

    Published 2025
    “…HMIS data showed statistically significant improvement in data completeness (from 62 to 87% (p < 0.001)) and decreased error rate (from 37 to 18% (p < 0.001)) after completion of the coaching visit series. …”
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  11. 4131

    MGPC module. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  12. 4132

    Comparative experiment. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  13. 4133

    Pruning experiment. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  14. 4134

    Parameter setting table. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  15. 4135

    DTADH module. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  16. 4136

    Ablation experiment. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  17. 4137

    Multi scale detection. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  18. 4138

    MFDPN module. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  19. 4139

    Detection effect of different sizes. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”
  20. 4140

    Radar chart comparing indicators. by Bo Tong (2138632)

    Published 2025
    “…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”