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Automated location of steel truss bridge damage using machine learning and raw strain sensor data

Research article (Automation in Construction, 2022) · cited 60× · AI/ML
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Automated location of steel truss bridge damage using machine learning and raw strain sensor data

Summary

Automated location of steel truss bridge damage using machine learning and raw strain sensor data is a scholarly article[1].

Key Facts

  • Automated location of steel truss bridge damage using machine learning and raw strain sensor 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). Automated location of steel truss bridge damage using machine learning and raw strain sensor data. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-location-of-steel-truss-bridge-damage-using-machine-learning-and-raw-strain-sensor-data
MLA “Automated location of steel truss bridge damage using machine learning and raw strain sensor data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-location-of-steel-truss-bridge-damage-using-machine-learning-and-raw-strain-sensor-data.
BibTeX @misc{4ortxyz_automated-location-of-steel-truss-bridge-damage-using-machine-learning-and-raw-strain-sensor-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated location of steel truss bridge damage using machine learning and raw strain sensor data}}, year = {2026}, url = {https://4ort.xyz/entity/automated-location-of-steel-truss-bridge-damage-using-machine-learning-and-raw-strain-sensor-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated location of steel truss bridge damage using machine learning and raw strain sensor data — https://4ort.xyz/entity/automated-location-of-steel-truss-bridge-damage-using-machine-learning-and-raw-strain-sensor-data (retrieved 2026-05-24)

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