بدائل البحث:
significant shape » significant change (توسيع البحث), significant gap (توسيع البحث), significant side (توسيع البحث)
shape decrease » shape increases (توسيع البحث), small decrease (توسيع البحث), step decrease (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), mean decrease (توسيع البحث)
significant shape » significant change (توسيع البحث), significant gap (توسيع البحث), significant side (توسيع البحث)
shape decrease » shape increases (توسيع البحث), small decrease (توسيع البحث), step decrease (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), mean decrease (توسيع البحث)
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181
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182
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183
Shape rescue in the midface phenotype in the Dp(16)1Yey/ <i>Ripply3</i><sup><i>tm1b</i></sup> compound mutant.
منشور في 2025"…Confidence interval and Frequency Bootstrap graphics with 10.000 resamplings showed significant shape changes (Z statistics = 0,045, CI = [0.06065/ -0.06202]). …"
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184
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185
Soil disturbance cross-sectional model.
منشور في 2025"…The experimental results show that, compared with the conventional airfoil-shaped subsoiler, the supersonic gas jet subsoiler achieves optimal performance at a tillage speed of 0.5 m/s and a tillage depth of 380 mm. …"
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186
Test plan table.
منشور في 2025"…The experimental results show that, compared with the conventional airfoil-shaped subsoiler, the supersonic gas jet subsoiler achieves optimal performance at a tillage speed of 0.5 m/s and a tillage depth of 380 mm. …"
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187
Gas jet subsoiling model.
منشور في 2025"…The experimental results show that, compared with the conventional airfoil-shaped subsoiler, the supersonic gas jet subsoiler achieves optimal performance at a tillage speed of 0.5 m/s and a tillage depth of 380 mm. …"
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188
Schematic diagram of the airflow passage.
منشور في 2025"…The experimental results show that, compared with the conventional airfoil-shaped subsoiler, the supersonic gas jet subsoiler achieves optimal performance at a tillage speed of 0.5 m/s and a tillage depth of 380 mm. …"
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189
Variation in soil penetration resistance.
منشور في 2025"…The experimental results show that, compared with the conventional airfoil-shaped subsoiler, the supersonic gas jet subsoiler achieves optimal performance at a tillage speed of 0.5 m/s and a tillage depth of 380 mm. …"
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190
Supersonic gas jet subsoiler experiment.
منشور في 2025"…The experimental results show that, compared with the conventional airfoil-shaped subsoiler, the supersonic gas jet subsoiler achieves optimal performance at a tillage speed of 0.5 m/s and a tillage depth of 380 mm. …"
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191
Generated spline library.
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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192
Correlation coefficient matrix.
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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193
RMSE versus learning rate.
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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194
RMSE versus training parameters.
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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195
Assembly process of machine recognition form.
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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196
Process of steel truss incremental launching.
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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197
CGAN and AutoML stacking device.
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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198
U-wave estimates versus R-matrix noise variance.
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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199
Sliding window process.
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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200
Assembly error angle of a single spline.
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.…"