Search alternatives:
increase decrease » increased release (Expand Search), increased crash (Expand Search)
shape decrease » shape increases (Expand Search), step decrease (Expand Search), showed decreased (Expand Search)
small decrease » small increased (Expand Search)
increase decrease » increased release (Expand Search), increased crash (Expand Search)
shape decrease » shape increases (Expand Search), step decrease (Expand Search), showed decreased (Expand Search)
small decrease » small increased (Expand Search)
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Supplementary Material for: First European Experience of Shape-Sensing Robotic-assisted bronchoscopy: Learning Curve Analysis
Published 2025“…Background and Objectives: Shape-sensing robotic-assisted bronchoscopy (ssRAB) is an emerging approach in Europe to diagnose peripheral pulmonary nodules (PPN). …”
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2251
Data Sheet 1_Comparative transcriptomics of two petal variants reveals key functional genes underlying petal shape development in lotus (Nelumbo).zip
Published 2025“…By integrating the results of morphological and enrichment analysis, key genes involved in the development of wide and narrow petal shapes in lotus were identified.</p>Results<p>It revealed that the broad petal variation of M512 was caused by a reduction in petal length while maintaining width, whereas the narrow petal phenotype of CSFY resulted from a combination of increased length and decreased width. …”
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2252
Table_2_Microclimate shapes the phylosymbiosis of rodent gut microbiota in Jordan’s Great Rift Valley.XLSX
Published 2025“…<p>Host phylogeny and the environment play vital roles in shaping animal microbiomes. However, the effects of these variables on the diversity and richness of the gut microbiome in different bioclimatic zones remain underexplored. …”
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2253
Table_1_Microclimate shapes the phylosymbiosis of rodent gut microbiota in Jordan’s Great Rift Valley.XLSX
Published 2025“…<p>Host phylogeny and the environment play vital roles in shaping animal microbiomes. However, the effects of these variables on the diversity and richness of the gut microbiome in different bioclimatic zones remain underexplored. …”
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2254
Generated spline library.
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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2255
Correlation coefficient matrix.
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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2256
RMSE versus learning rate.
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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2257
RMSE versus training parameters.
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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2258
Assembly process of machine recognition form.
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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2259
Process of steel truss incremental launching.
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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2260
CGAN and AutoML stacking device.
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.…”