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A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction
Research article (Engineering Applications of Artificial Intelligence, 2024) · cited 14× · AI/ML
A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction
Summary
A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction is a scholarly article[1].
Key Facts
A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction'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). A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-workflow-including-denoising-and-hybrid-deep-learning-model-for-shield-tunneling-construction-parameter-predicti
MLA“A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-workflow-including-denoising-and-hybrid-deep-learning-model-for-shield-tunneling-construction-parameter-predicti.
BibTeX@misc{4ortxyz_a-novel-workflow-including-denoising-and-hybrid-deep-learning-model-for-shield-tunneling-construction-parameter-predicti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-workflow-including-denoising-and-hybrid-deep-learning-model-for-shield-tunneling-construction-parameter-predicti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction — https://4ort.xyz/entity/a-novel-workflow-including-denoising-and-hybrid-deep-learning-model-for-shield-tunneling-construction-parameter-predicti (retrieved 2026-05-24)
