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Real-time tunnel lining leakage image semantic segmentation via multiple attention mechanisms

Research article (Measurement Science and Technology, 2024) · cited 11× · AI/ML
academia openalex:W4390818277
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Real-time tunnel lining leakage image semantic segmentation via multiple attention mechanisms

Summary

Real-time tunnel lining leakage image semantic segmentation via multiple attention mechanisms is a scholarly article[1].

Key Facts

  • Real-time tunnel lining leakage image semantic segmentation via multiple attention mechanisms's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Real-time tunnel lining leakage image semantic segmentation via multiple attention mechanisms. Retrieved May 24, 2026, from https://4ort.xyz/entity/real-time-tunnel-lining-leakage-image-semantic-segmentation-via-multiple-attention-mechanisms
MLA “Real-time tunnel lining leakage image semantic segmentation via multiple attention mechanisms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/real-time-tunnel-lining-leakage-image-semantic-segmentation-via-multiple-attention-mechanisms.
BibTeX @misc{4ortxyz_real-time-tunnel-lining-leakage-image-semantic-segmentation-via-multiple-attention-mechanisms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Real-time tunnel lining leakage image semantic segmentation via multiple attention mechanisms}}, year = {2026}, url = {https://4ort.xyz/entity/real-time-tunnel-lining-leakage-image-semantic-segmentation-via-multiple-attention-mechanisms}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Real-time tunnel lining leakage image semantic segmentation via multiple attention mechanisms — https://4ort.xyz/entity/real-time-tunnel-lining-leakage-image-semantic-segmentation-via-multiple-attention-mechanisms (retrieved 2026-05-24)

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