Showing 201 - 220 results of 6,501 for search '(( significantly improve decrease ) OR ( significantly greater decrease ))', query time: 0.38s Refine Results
  1. 201
  2. 202

    A Novel Phospholipase A<sub>1</sub> Gene from Tritipyrum Improves Wheat Early Ripening and Salt Tolerance by Jv Zhang (11175243)

    Published 2025
    “…However, the malondialdehyde content decreased. Conversely, <i>TtPLA</i><sub><i>1–1</i></sub> downregulation in “Y1805” using a virus-induced gene silencing system decreased the salt tolerance. …”
  3. 203

    A Novel Phospholipase A<sub>1</sub> Gene from Tritipyrum Improves Wheat Early Ripening and Salt Tolerance by Jv Zhang (11175243)

    Published 2025
    “…However, the malondialdehyde content decreased. Conversely, <i>TtPLA</i><sub><i>1–1</i></sub> downregulation in “Y1805” using a virus-induced gene silencing system decreased the salt tolerance. …”
  4. 204
  5. 205
  6. 206
  7. 207
  8. 208
  9. 209

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

    Published 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. …”
  10. 210

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

    Published 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. …”
  11. 211

    Improved model distillation structure. by Zhongjian Xie (4633099)

    Published 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. …”
  12. 212
  13. 213
  14. 214
  15. 215
  16. 216
  17. 217
  18. 218
  19. 219

    Improvement of CBS to CBR process. by Pingping Yan (462509)

    Published 2025
    “…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  20. 220