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Efficient segmentation of water leakage in shield tunnel lining with convolutional neural network

Research article (Structural Health Monitoring, 2023) · cited 14× · AI/ML
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Efficient segmentation of water leakage in shield tunnel lining with convolutional neural network

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Efficient segmentation of water leakage in shield tunnel lining with convolutional neural network is a scholarly article[1].

Key Facts

  • Efficient segmentation of water leakage in shield tunnel lining with convolutional neural network's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Efficient segmentation of water leakage in shield tunnel lining with convolutional neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-segmentation-of-water-leakage-in-shield-tunnel-lining-with-convolutional-neural-network
MLA “Efficient segmentation of water leakage in shield tunnel lining with convolutional neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-segmentation-of-water-leakage-in-shield-tunnel-lining-with-convolutional-neural-network.
BibTeX @misc{4ortxyz_efficient-segmentation-of-water-leakage-in-shield-tunnel-lining-with-convolutional-neural-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient segmentation of water leakage in shield tunnel lining with convolutional neural network}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-segmentation-of-water-leakage-in-shield-tunnel-lining-with-convolutional-neural-network}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient segmentation of water leakage in shield tunnel lining with convolutional neural network — https://4ort.xyz/entity/efficient-segmentation-of-water-leakage-in-shield-tunnel-lining-with-convolutional-neural-network (retrieved 2026-05-24)

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