An unsupervised machine learning based ground motion selection method for computationally efficient estimation of seismic fragility

Research article (Earthquake Engineering & Structural Dynamics, 2022) · cited 11× · AI/ML
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An unsupervised machine learning based ground motion selection method for computationally efficient estimation of seismic fragility

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An unsupervised machine learning based ground motion selection method for computationally efficient estimation of seismic fragility is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An unsupervised machine learning based ground motion selection method for computationally efficient estimation of seismic fragility. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-unsupervised-machine-learning-based-ground-motion-selection-method-for-computationally-efficient-estimation-of-seismi
MLA “An unsupervised machine learning based ground motion selection method for computationally efficient estimation of seismic fragility.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-unsupervised-machine-learning-based-ground-motion-selection-method-for-computationally-efficient-estimation-of-seismi.
BibTeX @misc{4ortxyz_an-unsupervised-machine-learning-based-ground-motion-selection-method-for-computationally-efficient-estimation-of-seismi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An unsupervised machine learning based ground motion selection method for computationally efficient estimation of seismic fragility}}, year = {2026}, url = {https://4ort.xyz/entity/an-unsupervised-machine-learning-based-ground-motion-selection-method-for-computationally-efficient-estimation-of-seismi}, note = {Accessed: 2026-05-24}}
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