Home ›
Entities
› academia
› Predicting variation of multipoint earth pressure in sealed chambers of shield tunneling machines based on hybrid deep learning
Predicting variation of multipoint earth pressure in sealed chambers of shield tunneling machines based on hybrid deep learning
Research article (Automation in Construction, 2022) · cited 21× · AI/ML
Predicting variation of multipoint earth pressure in sealed chambers of shield tunneling machines based on hybrid deep learning
Summary
Predicting variation of multipoint earth pressure in sealed chambers of shield tunneling machines based on hybrid deep learning is a scholarly article[1].
Key Facts
Predicting variation of multipoint earth pressure in sealed chambers of shield tunneling machines based on hybrid deep learning's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Predicting variation of multipoint earth pressure in sealed chambers of shield tunneling machines based on hybrid deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-variation-of-multipoint-earth-pressure-in-sealed-chambers-of-shield-tunneling-machines-based-on-hybrid-deep-l
MLA“Predicting variation of multipoint earth pressure in sealed chambers of shield tunneling machines based on hybrid deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-variation-of-multipoint-earth-pressure-in-sealed-chambers-of-shield-tunneling-machines-based-on-hybrid-deep-l.
BibTeX@misc{4ortxyz_predicting-variation-of-multipoint-earth-pressure-in-sealed-chambers-of-shield-tunneling-machines-based-on-hybrid-deep-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting variation of multipoint earth pressure in sealed chambers of shield tunneling machines based on hybrid deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-variation-of-multipoint-earth-pressure-in-sealed-chambers-of-shield-tunneling-machines-based-on-hybrid-deep-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting variation of multipoint earth pressure in sealed chambers of shield tunneling machines based on hybrid deep learning — https://4ort.xyz/entity/predicting-variation-of-multipoint-earth-pressure-in-sealed-chambers-of-shield-tunneling-machines-based-on-hybrid-deep-l (retrieved 2026-05-24)