Search alternatives:
significant amount » significant impact (Expand Search)
amount decrease » point decrease (Expand Search)
shape decrease » shape increases (Expand Search), small decrease (Expand Search), showed decreased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
significant amount » significant impact (Expand Search)
amount decrease » point decrease (Expand Search)
shape decrease » shape increases (Expand Search), small decrease (Expand Search), showed decreased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
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Actual measurement of shape errors.
Published 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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Effects of increasing amounts of gravel on escape latency and aversiveness of gravel.
Published 2025“…Over five trials, latency significantly decreased in the 20 and 40 g groups. *p < 0.05 refers to effect of trial and ****p < 0.0001 refers to effect of group. …”
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Comprehensive prediction process of shape errors.
Published 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 manual calculation process.
Published 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.
Published 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.…”