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Displacement Measurement and 3D Reconstruction of Segmental Retaining Wall Using Deep Convolutional Neural Networks and Binocular Stereovision
Research article (Structural Control and Health Monitoring, 2024) · cited 13× · AI/ML
Displacement Measurement and 3D Reconstruction of Segmental Retaining Wall Using Deep Convolutional Neural Networks and Binocular Stereovision
Summary
Displacement Measurement and 3D Reconstruction of Segmental Retaining Wall Using Deep Convolutional Neural Networks and Binocular Stereovision is a scholarly article[1].
Key Facts
Displacement Measurement and 3D Reconstruction of Segmental Retaining Wall Using Deep Convolutional Neural Networks and Binocular Stereovision'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). Displacement Measurement and 3D Reconstruction of Segmental Retaining Wall Using Deep Convolutional Neural Networks and Binocular Stereovision. Retrieved May 24, 2026, from https://4ort.xyz/entity/displacement-measurement-and-3d-reconstruction-of-segmental-retaining-wall-using-deep-convolutional-neural-networks-and-
MLA“Displacement Measurement and 3D Reconstruction of Segmental Retaining Wall Using Deep Convolutional Neural Networks and Binocular Stereovision.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/displacement-measurement-and-3d-reconstruction-of-segmental-retaining-wall-using-deep-convolutional-neural-networks-and-.
BibTeX@misc{4ortxyz_displacement-measurement-and-3d-reconstruction-of-segmental-retaining-wall-using-deep-convolutional-neural-networks-and-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Displacement Measurement and 3D Reconstruction of Segmental Retaining Wall Using Deep Convolutional Neural Networks and Binocular Stereovision}}, year = {2026}, url = {https://4ort.xyz/entity/displacement-measurement-and-3d-reconstruction-of-segmental-retaining-wall-using-deep-convolutional-neural-networks-and-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Displacement Measurement and 3D Reconstruction of Segmental Retaining Wall Using Deep Convolutional Neural Networks and Binocular Stereovision — https://4ort.xyz/entity/displacement-measurement-and-3d-reconstruction-of-segmental-retaining-wall-using-deep-convolutional-neural-networks-and- (retrieved 2026-05-24)
