يعرض 1 - 20 نتائج من 2,814 نتيجة بحث عن '(( significantly predicted decrease ) OR ( significant ((shape decrease) OR (nn decrease)) ))', وقت الاستعلام: 0.56s تنقيح النتائج
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    Comprehensive prediction process of shape errors. 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.…"
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    Actual measurement of shape errors. 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.…"
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    Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses حسب Jing Wang (6206297)

    منشور في 2025
    "…In contrast, reversing managed to natural ecosystems significantly increased NNM by 20% (9.7, 25.4%) and decreased NN by 89% (−125, −46%), indicating increasing N availability while decreasing potential N loss. …"
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    Shape error manual calculation 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.…"
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    Shape error measurement results statistics. 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.…"