يعرض 1,601 - 1,620 نتائج من 21,401 نتيجة بحث عن '(( significantly ((improves decrease) OR (improved urease)) ) OR ( significant decrease decrease ))', وقت الاستعلام: 0.47s تنقيح النتائج
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    Datasets used in the study. حسب Rajon Banik (12066099)

    منشور في 2025
    الموضوعات:
  9. 1609

    Analyze data. حسب Xinhui Zhang (1624039)

    منشور في 2025
    الموضوعات:
  10. 1610

    Mouse spinal cord injury strike parame. حسب Xinhui Zhang (1624039)

    منشور في 2025
    الموضوعات:
  11. 1611
  12. 1612
  13. 1613
  14. 1614
  15. 1615
  16. 1616
  17. 1617
  18. 1618

    Comparison experiment of accuracy improvement. حسب Zhongjian Xie (4633099)

    منشور في 2025
    "…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …"
  19. 1619

    Comparison experiment of accuracy improvement. حسب Zhongjian Xie (4633099)

    منشور في 2025
    "…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …"
  20. 1620

    Improved model distillation structure. حسب Zhongjian Xie (4633099)

    منشور في 2025
    "…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …"