Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality

Research article (Tunnelling and Underground Space Technology, 2024) · cited 40× · AI/ML
Press Enter · cited answer in seconds

Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality

Summary

Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality is a scholarly article[1].

Key Facts

  • Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality. Retrieved May 24, 2026, from https://4ort.xyz/entity/spatio-temporal-prediction-of-deep-excavation-induced-ground-settlement-a-hybrid-graphical-network-approach-considering-
MLA “Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spatio-temporal-prediction-of-deep-excavation-induced-ground-settlement-a-hybrid-graphical-network-approach-considering-.
BibTeX @misc{4ortxyz_spatio-temporal-prediction-of-deep-excavation-induced-ground-settlement-a-hybrid-graphical-network-approach-considering-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality}}, year = {2026}, url = {https://4ort.xyz/entity/spatio-temporal-prediction-of-deep-excavation-induced-ground-settlement-a-hybrid-graphical-network-approach-considering-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality — https://4ort.xyz/entity/spatio-temporal-prediction-of-deep-excavation-induced-ground-settlement-a-hybrid-graphical-network-approach-considering- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/spatio-temporal-prediction-of-deep-excavation-induced-ground-settlement-a-hybrid-graphical-network-approach-considering- · Last refreshed: