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Prediction of geological conditions for a tunnel boring machine using big operational data

Research article (Automation in Construction, 2019) · cited 255× · AI/ML
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Prediction of geological conditions for a tunnel boring machine using big operational data

Summary

Prediction of geological conditions for a tunnel boring machine using big operational data is a scholarly article[1].

Key Facts

  • Prediction of geological conditions for a tunnel boring machine using big operational data's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Prediction of geological conditions for a tunnel boring machine using big operational data. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-geological-conditions-for-a-tunnel-boring-machine-using-big-operational-data
MLA “Prediction of geological conditions for a tunnel boring machine using big operational data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-geological-conditions-for-a-tunnel-boring-machine-using-big-operational-data.
BibTeX @misc{4ortxyz_prediction-of-geological-conditions-for-a-tunnel-boring-machine-using-big-operational-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of geological conditions for a tunnel boring machine using big operational data}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-geological-conditions-for-a-tunnel-boring-machine-using-big-operational-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of geological conditions for a tunnel boring machine using big operational data — https://4ort.xyz/entity/prediction-of-geological-conditions-for-a-tunnel-boring-machine-using-big-operational-data (retrieved 2026-05-24)

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