Showing 19,001 - 19,020 results of 123,774 for search '(( 2 d decrease ) OR ( 5 ((point decrease) OR (((mean decrease) OR (a decrease)))) ))', query time: 2.43s Refine Results
  1. 19001

    Image_5_A Novel Chloroplast Protein RNA Processing 8 Is Required for the Expression of Chloroplast Genes and Chloroplast Development in Arabidopsis thaliana.TIF by Mengmeng Kong (11815760)

    Published 2021
    “…The abundance of the chloroplast rRNA, including 23S, 16S, 4.5S, and 5S rRNA, were reduced in the rp8 mutant, respectively, and the amounts of chloroplast ribosome proteins, such as, PRPS1(uS1c), PRPS5(uS5c), PRPL2 (uL2c), and PRPL4 (uL4c), were substantially decreased in the rp8 mutant, which indicated that knockout of RP8 seriously affected chloroplast translational machinery. …”
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    Mice Survival and Plasmatic Cytokine Secretion in a “Two Hit” Model of Sepsis Depend on Intratracheal <i>Pseudomonas Aeruginosa</i> Bacterial Load by Damien Restagno (3092421)

    Published 2016
    “…In parallel, T cells proliferation and LPS-stimulated splenocytes ability to release TNFα decreased. At D13, survival was 100% after 5.10<sup>6</sup> CFU, 50% for CLP mice after 2.10<sup>7</sup> CFU and 0% for CLP and Sham after 10<sup>8</sup> CFU. …”
  5. 19005

    Information on the extracted dataset. by Enming Zhao (3957782)

    Published 2024
    “…Through comparative evaluations with heatmap and regression-based models such as HRNet, HigherHRNet, DEKR, DEKRv2, and YOLOv5-pose, our method improves AP<sub>0.5</sub> by at least 0.4%, reduces the number of parameters by at least 0.4%, and decreases the amount of computation by at least 1.0 GFLOPs, achieving a harmonious balance between accuracy and efficiency. …”
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  14. 19014

    Improved YOLOv8 network architecture. by Enming Zhao (3957782)

    Published 2024
    “…Through comparative evaluations with heatmap and regression-based models such as HRNet, HigherHRNet, DEKR, DEKRv2, and YOLOv5-pose, our method improves AP<sub>0.5</sub> by at least 0.4%, reduces the number of parameters by at least 0.4%, and decreases the amount of computation by at least 1.0 GFLOPs, achieving a harmonious balance between accuracy and efficiency. …”
  15. 19015

    Comparison of the three attention steps. by Enming Zhao (3957782)

    Published 2024
    “…Through comparative evaluations with heatmap and regression-based models such as HRNet, HigherHRNet, DEKR, DEKRv2, and YOLOv5-pose, our method improves AP<sub>0.5</sub> by at least 0.4%, reduces the number of parameters by at least 0.4%, and decreases the amount of computation by at least 1.0 GFLOPs, achieving a harmonious balance between accuracy and efficiency. …”
  16. 19016

    Hardware platform and environment parameters. by Enming Zhao (3957782)

    Published 2024
    “…Through comparative evaluations with heatmap and regression-based models such as HRNet, HigherHRNet, DEKR, DEKRv2, and YOLOv5-pose, our method improves AP<sub>0.5</sub> by at least 0.4%, reduces the number of parameters by at least 0.4%, and decreases the amount of computation by at least 1.0 GFLOPs, achieving a harmonious balance between accuracy and efficiency. …”
  17. 19017

    EfficientRepBiPAN network structure. by Enming Zhao (3957782)

    Published 2024
    “…Through comparative evaluations with heatmap and regression-based models such as HRNet, HigherHRNet, DEKR, DEKRv2, and YOLOv5-pose, our method improves AP<sub>0.5</sub> by at least 0.4%, reduces the number of parameters by at least 0.4%, and decreases the amount of computation by at least 1.0 GFLOPs, achieving a harmonious balance between accuracy and efficiency. …”
  18. 19018

    Cattle image labeling. by Enming Zhao (3957782)

    Published 2024
    “…Through comparative evaluations with heatmap and regression-based models such as HRNet, HigherHRNet, DEKR, DEKRv2, and YOLOv5-pose, our method improves AP<sub>0.5</sub> by at least 0.4%, reduces the number of parameters by at least 0.4%, and decreases the amount of computation by at least 1.0 GFLOPs, achieving a harmonious balance between accuracy and efficiency. …”
  19. 19019

    Standard YOLOv8 network structure. by Enming Zhao (3957782)

    Published 2024
    “…Through comparative evaluations with heatmap and regression-based models such as HRNet, HigherHRNet, DEKR, DEKRv2, and YOLOv5-pose, our method improves AP<sub>0.5</sub> by at least 0.4%, reduces the number of parameters by at least 0.4%, and decreases the amount of computation by at least 1.0 GFLOPs, achieving a harmonious balance between accuracy and efficiency. …”
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