Showing 221 - 240 results of 953 for search '(( algorithm rate function ) OR ( algorithm python function ))*', query time: 0.42s Refine Results
  1. 221

    Results of the comparative experiment. by Jia Li (160557)

    Published 2025
    “…According to experimental results, the enhanced algorithm reduces the rate of misdetection and omission of defects on transmission conductors, accomplishes a comprehensive simultaneous improvement, and achieves 87.2% mean average accuracy (mAP@0.5) on the dataset.…”
  2. 222

    Comparison of attention mechanisms. by Jia Li (160557)

    Published 2025
    “…According to experimental results, the enhanced algorithm reduces the rate of misdetection and omission of defects on transmission conductors, accomplishes a comprehensive simultaneous improvement, and achieves 87.2% mean average accuracy (mAP@0.5) on the dataset.…”
  3. 223

    Results of ablation experiments. by Jia Li (160557)

    Published 2025
    “…According to experimental results, the enhanced algorithm reduces the rate of misdetection and omission of defects on transmission conductors, accomplishes a comprehensive simultaneous improvement, and achieves 87.2% mean average accuracy (mAP@0.5) on the dataset.…”
  4. 224

    Comparison of attention mechanisms. by Jia Li (160557)

    Published 2025
    “…According to experimental results, the enhanced algorithm reduces the rate of misdetection and omission of defects on transmission conductors, accomplishes a comprehensive simultaneous improvement, and achieves 87.2% mean average accuracy (mAP@0.5) on the dataset.…”
  5. 225

    Experimental environment configuration. by Jia Li (160557)

    Published 2025
    “…According to experimental results, the enhanced algorithm reduces the rate of misdetection and omission of defects on transmission conductors, accomplishes a comprehensive simultaneous improvement, and achieves 87.2% mean average accuracy (mAP@0.5) on the dataset.…”
  6. 226

    Model comparison experiments. by Jia Li (160557)

    Published 2025
    “…According to experimental results, the enhanced algorithm reduces the rate of misdetection and omission of defects on transmission conductors, accomplishes a comprehensive simultaneous improvement, and achieves 87.2% mean average accuracy (mAP@0.5) on the dataset.…”
  7. 227

    Insulator dataset data enhancement. by Jia Li (160557)

    Published 2025
    “…According to experimental results, the enhanced algorithm reduces the rate of misdetection and omission of defects on transmission conductors, accomplishes a comprehensive simultaneous improvement, and achieves 87.2% mean average accuracy (mAP@0.5) on the dataset.…”
  8. 228

    SPDConv structure diagram. by Jia Li (160557)

    Published 2025
    “…According to experimental results, the enhanced algorithm reduces the rate of misdetection and omission of defects on transmission conductors, accomplishes a comprehensive simultaneous improvement, and achieves 87.2% mean average accuracy (mAP@0.5) on the dataset.…”
  9. 229

    Loss curve comparison diagram. by Jia Li (160557)

    Published 2025
    “…According to experimental results, the enhanced algorithm reduces the rate of misdetection and omission of defects on transmission conductors, accomplishes a comprehensive simultaneous improvement, and achieves 87.2% mean average accuracy (mAP@0.5) on the dataset.…”
  10. 230

    Visualisation and analysis of test results. by Jia Li (160557)

    Published 2025
    “…According to experimental results, the enhanced algorithm reduces the rate of misdetection and omission of defects on transmission conductors, accomplishes a comprehensive simultaneous improvement, and achieves 87.2% mean average accuracy (mAP@0.5) on the dataset.…”
  11. 231

    Comparison of mAP@0.5 and mAP@0.5:0.95 curves. by Jia Li (160557)

    Published 2025
    “…According to experimental results, the enhanced algorithm reduces the rate of misdetection and omission of defects on transmission conductors, accomplishes a comprehensive simultaneous improvement, and achieves 87.2% mean average accuracy (mAP@0.5) on the dataset.…”
  12. 232
  13. 233
  14. 234
  15. 235
  16. 236
  17. 237
  18. 238
  19. 239
  20. 240