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TFCGAN: Nonstationary Ground-Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods
Research article (Bulletin of the Seismological Society of America, 2022) · cited 37× · AI/ML
TFCGAN: Nonstationary Ground-Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods
Summary
TFCGAN: Nonstationary Ground-Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods is a scholarly article[1].
Key Facts
TFCGAN: Nonstationary Ground-Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). TFCGAN: Nonstationary Ground-Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/tfcgan-nonstationary-ground-motion-simulation-in-the-timefrequency-domain-using-conditional-generative-adversarial-netwo
MLA“TFCGAN: Nonstationary Ground-Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tfcgan-nonstationary-ground-motion-simulation-in-the-timefrequency-domain-using-conditional-generative-adversarial-netwo.
BibTeX@misc{4ortxyz_tfcgan-nonstationary-ground-motion-simulation-in-the-timefrequency-domain-using-conditional-generative-adversarial-netwo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TFCGAN: Nonstationary Ground-Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods}}, year = {2026}, url = {https://4ort.xyz/entity/tfcgan-nonstationary-ground-motion-simulation-in-the-timefrequency-domain-using-conditional-generative-adversarial-netwo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TFCGAN: Nonstationary Ground-Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods — https://4ort.xyz/entity/tfcgan-nonstationary-ground-motion-simulation-in-the-timefrequency-domain-using-conditional-generative-adversarial-netwo (retrieved 2026-05-24)
