Showing 141 - 160 results of 6,146 for search '(( significantly ((better decrease) OR (teer decrease)) ) OR ( significantly improve decrease ))', query time: 0.67s Refine Results
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    eQTL analysis of significant SNPs. by Dai Nogimura (21445649)

    Published 2025
    “…<div><p>Decreased nitric oxide (NO) production from the vascular endothelium is a major factor for vascular aging. …”
  3. 143

    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. 144

    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. …”
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    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. 151

    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. …”
  12. 152

    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. …”
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