يعرض 561 - 580 نتائج من 23,233 نتيجة بحث عن '(( significant ((shape increases) OR (step decrease)) ) OR ( significant decrease decrease ))', وقت الاستعلام: 0.45s تنقيح النتائج
  1. 561
  2. 562
  3. 563
  4. 564

    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.…"
  5. 565

    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.…"
  6. 566

    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.…"
  7. 567

    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.…"
  8. 568

    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.…"
  9. 569

    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.…"
  10. 570

    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.…"
  11. 571

    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.…"
  12. 572

    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.…"
  13. 573

    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.…"
  14. 574

    Original record form of error 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.…"
  15. 575

    Form for machine recognition. 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. 576

    RMSE versus architectural 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.…"
  17. 577

    Kalman 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.…"
  18. 578

    Attention mechanism. 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. 579
  20. 580