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Subway tunnel damage detection based on in-service train dynamic response, variational mode decomposition, convolutional neural networks and long short-term memory
Research article (Automation in Construction, 2022) · cited 69× · AI/ML
Subway tunnel damage detection based on in-service train dynamic response, variational mode decomposition, convolutional neural networks and long short-term memory
Summary
Subway tunnel damage detection based on in-service train dynamic response, variational mode decomposition, convolutional neural networks and long short-term memory is a scholarly article[1].
Key Facts
Subway tunnel damage detection based on in-service train dynamic response, variational mode decomposition, convolutional neural networks and long short-term memory's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Subway tunnel damage detection based on in-service train dynamic response, variational mode decomposition, convolutional neural networks and long short-term memory. Retrieved May 24, 2026, from https://4ort.xyz/entity/subway-tunnel-damage-detection-based-on-in-service-train-dynamic-response-variational-mode-decomposition-convolutional-n
MLA“Subway tunnel damage detection based on in-service train dynamic response, variational mode decomposition, convolutional neural networks and long short-term memory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/subway-tunnel-damage-detection-based-on-in-service-train-dynamic-response-variational-mode-decomposition-convolutional-n.
BibTeX@misc{4ortxyz_subway-tunnel-damage-detection-based-on-in-service-train-dynamic-response-variational-mode-decomposition-convolutional-n_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Subway tunnel damage detection based on in-service train dynamic response, variational mode decomposition, convolutional neural networks and long short-term memory}}, year = {2026}, url = {https://4ort.xyz/entity/subway-tunnel-damage-detection-based-on-in-service-train-dynamic-response-variational-mode-decomposition-convolutional-n}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Subway tunnel damage detection based on in-service train dynamic response, variational mode decomposition, convolutional neural networks and long short-term memory — https://4ort.xyz/entity/subway-tunnel-damage-detection-based-on-in-service-train-dynamic-response-variational-mode-decomposition-convolutional-n (retrieved 2026-05-24)
