Showing 81 - 100 results of 143 for search '(( learning setup decrease ) OR ( ct ((values decrease) OR (largest decrease)) ))', query time: 0.32s Refine Results
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    LSTM model. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
  6. 86

    CNN model. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
  7. 87

    Ceramic bearings. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
  8. 88

    Geometric contact arc length model. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
  9. 89

    Indentation fracture mechanics model. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
  10. 90

    Grinding particle cutting machining model. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
  11. 91

    Three stages of abrasive cutting process. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
  12. 92

    CNN-LSTM action recognition process. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
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  15. 95

    Raw data. by Changzhi Liu (518454)

    Published 2025
    “…The participants were divided into low and high groups for RC, and the RC-to-cholesterol ratio was based on the median values. Vertebral fractures were assessed via the Genant semiquantitative classification system on CT-reconstructed sagittal images.…”
  16. 96

    Baseline characteristics of the subjects. by Changzhi Liu (518454)

    Published 2025
    “…The participants were divided into low and high groups for RC, and the RC-to-cholesterol ratio was based on the median values. Vertebral fractures were assessed via the Genant semiquantitative classification system on CT-reconstructed sagittal images.…”
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  18. 98

    Video 1_Evaluating robotic assistance on the learning curve and efficiency of mandibular angle ostectomy: an animal model study.mov by Wenqing Han (12609103)

    Published 2024
    “…The study found that robotic assistance could decrease the risk of complications and enhance surgical outcomes. …”
  19. 99

    Data Sheet 1_Evaluating robotic assistance on the learning curve and efficiency of mandibular angle ostectomy: an animal model study.pdf by Wenqing Han (12609103)

    Published 2024
    “…The study found that robotic assistance could decrease the risk of complications and enhance surgical outcomes. …”
  20. 100

    Supplementary Material for: The value of circulating tumor DNA in the prognostic diagnosis of bladder cancer: a systematic review and meta-analysis by figshare admin karger (2628495)

    Published 2025
    “…Conclusion: ctDNA demonstrates some clinical application value in the prognostic assessment of bladder cancer, and can assist in predicting patient recurrence and survival. …”