Home ›
Entities
› academia
› Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks
Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks
Research article (Structural Health Monitoring, 2024) · cited 49× · AI/ML
Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks
Summary
Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks is a scholarly article[1].
Key Facts
Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks'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). Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/bidirectional-graphics-based-digital-twin-framework-for-quantifying-seismic-damage-of-structures-using-deep-learning-net
MLA“Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bidirectional-graphics-based-digital-twin-framework-for-quantifying-seismic-damage-of-structures-using-deep-learning-net.
BibTeX@misc{4ortxyz_bidirectional-graphics-based-digital-twin-framework-for-quantifying-seismic-damage-of-structures-using-deep-learning-net_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks}}, year = {2026}, url = {https://4ort.xyz/entity/bidirectional-graphics-based-digital-twin-framework-for-quantifying-seismic-damage-of-structures-using-deep-learning-net}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks — https://4ort.xyz/entity/bidirectional-graphics-based-digital-twin-framework-for-quantifying-seismic-damage-of-structures-using-deep-learning-net (retrieved 2026-05-24)
