يعرض 241 - 260 نتائج من 8,924 نتيجة بحث عن '(( significantly higher decrease ) OR ( significantly improves decrease ))', وقت الاستعلام: 0.32s تنقيح النتائج
  1. 241

    Group control-before intervention. حسب Nan Tang (642590)

    منشور في 2025
    الموضوعات:
  2. 242

    Patient satisfaction with SFA intervention(%). حسب Nan Tang (642590)

    منشور في 2025
    الموضوعات:
  3. 243

    Pre-Experiment. حسب Nan Tang (642590)

    منشور في 2025
    الموضوعات:
  4. 244

    Group SFA-after intervention. حسب Nan Tang (642590)

    منشور في 2025
    الموضوعات:
  5. 245
  6. 246

    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. …"
  7. 247

    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. …"
  8. 248

    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. …"
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