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Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment

Research article (Computer-Aided Civil and Infrastructure Engineering, 2023) · cited 29× · AI/ML
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Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment

Summary

Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment is a scholarly article[1].

Key Facts

  • Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment's instance of is recorded as scholarly article[2].

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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). Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment. Retrieved May 24, 2026, from https://4ort.xyz/entity/convolutional-variational-autoencoder-for-ground-motion-classification-and-generation-toward-efficient-seismic-fragility
MLA “Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convolutional-variational-autoencoder-for-ground-motion-classification-and-generation-toward-efficient-seismic-fragility.
BibTeX @misc{4ortxyz_convolutional-variational-autoencoder-for-ground-motion-classification-and-generation-toward-efficient-seismic-fragility_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment}}, year = {2026}, url = {https://4ort.xyz/entity/convolutional-variational-autoencoder-for-ground-motion-classification-and-generation-toward-efficient-seismic-fragility}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment — https://4ort.xyz/entity/convolutional-variational-autoencoder-for-ground-motion-classification-and-generation-toward-efficient-seismic-fragility (retrieved 2026-05-24)

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