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Story drift and damage level estimation of buildings using relative acceleration responses with multi‐target deep learning models under seismic excitation
Story drift and damage level estimation of buildings using relative acceleration responses with multi‐target deep learning models under seismic excitation
Summary
Story drift and damage level estimation of buildings using relative acceleration responses with multi‐target deep learning models under seismic excitation is a scholarly article[1].
Key Facts
Story drift and damage level estimation of buildings using relative acceleration responses with multi‐target deep learning models under seismic excitation'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). Story drift and damage level estimation of buildings using relative acceleration responses with multi‐target deep learning models under seismic excitation. Retrieved May 24, 2026, from https://4ort.xyz/entity/story-drift-and-damage-level-estimation-of-buildings-using-relative-acceleration-responses-with-multitarget-deep-learnin
MLA“Story drift and damage level estimation of buildings using relative acceleration responses with multi‐target deep learning models under seismic excitation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/story-drift-and-damage-level-estimation-of-buildings-using-relative-acceleration-responses-with-multitarget-deep-learnin.
BibTeX@misc{4ortxyz_story-drift-and-damage-level-estimation-of-buildings-using-relative-acceleration-responses-with-multitarget-deep-learnin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Story drift and damage level estimation of buildings using relative acceleration responses with multi‐target deep learning models under seismic excitation}}, year = {2026}, url = {https://4ort.xyz/entity/story-drift-and-damage-level-estimation-of-buildings-using-relative-acceleration-responses-with-multitarget-deep-learnin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Story drift and damage level estimation of buildings using relative acceleration responses with multi‐target deep learning models under seismic excitation — https://4ort.xyz/entity/story-drift-and-damage-level-estimation-of-buildings-using-relative-acceleration-responses-with-multitarget-deep-learnin (retrieved 2026-05-24)
