يعرض 181 - 200 نتائج من 7,548 نتيجة بحث عن 'significant ((shape decrease) OR (((((step decrease) OR (greater decrease))) OR (we decrease))))', وقت الاستعلام: 0.62s تنقيح النتائج
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  11. 191

    Generated spline library. حسب Zhe Hu (787283)

    منشور في 2025
    "…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"
  12. 192

    Correlation coefficient matrix. حسب Zhe Hu (787283)

    منشور في 2025
    "…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"
  13. 193

    RMSE versus learning rate. حسب Zhe Hu (787283)

    منشور في 2025
    "…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"
  14. 194

    RMSE versus training parameters. حسب Zhe Hu (787283)

    منشور في 2025
    "…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"
  15. 195

    Assembly process of machine recognition form. حسب Zhe Hu (787283)

    منشور في 2025
    "…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"
  16. 196

    Process of steel truss incremental launching. حسب Zhe Hu (787283)

    منشور في 2025
    "…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"
  17. 197

    CGAN and AutoML stacking device. حسب Zhe Hu (787283)

    منشور في 2025
    "…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"
  18. 198

    U-wave estimates versus R-matrix noise variance. حسب Zhe Hu (787283)

    منشور في 2025
    "…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"
  19. 199

    Sliding window process. حسب Zhe Hu (787283)

    منشور في 2025
    "…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"
  20. 200

    Assembly error angle of a single spline. حسب Zhe Hu (787283)

    منشور في 2025
    "…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…"