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The methodology for evaluating the fire resistance performance of concrete-filled steel tube columns by integrating conditional tabular generative adversarial networks and random oversampling
Research article (Journal of Building Engineering, 2024) · cited 13× · AI/ML
The methodology for evaluating the fire resistance performance of concrete-filled steel tube columns by integrating conditional tabular generative adversarial networks and random oversampling
Summary
The methodology for evaluating the fire resistance performance of concrete-filled steel tube columns by integrating conditional tabular generative adversarial networks and random oversampling is a scholarly article[1].
Key Facts
The methodology for evaluating the fire resistance performance of concrete-filled steel tube columns by integrating conditional tabular generative adversarial networks and random oversampling's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). The methodology for evaluating the fire resistance performance of concrete-filled steel tube columns by integrating conditional tabular generative adversarial networks and random oversampling. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-methodology-for-evaluating-the-fire-resistance-performance-of-concrete-filled-steel-tube-columns-by-integrating-cond
MLA“The methodology for evaluating the fire resistance performance of concrete-filled steel tube columns by integrating conditional tabular generative adversarial networks and random oversampling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-methodology-for-evaluating-the-fire-resistance-performance-of-concrete-filled-steel-tube-columns-by-integrating-cond.
BibTeX@misc{4ortxyz_the-methodology-for-evaluating-the-fire-resistance-performance-of-concrete-filled-steel-tube-columns-by-integrating-cond_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The methodology for evaluating the fire resistance performance of concrete-filled steel tube columns by integrating conditional tabular generative adversarial networks and random oversampling}}, year = {2026}, url = {https://4ort.xyz/entity/the-methodology-for-evaluating-the-fire-resistance-performance-of-concrete-filled-steel-tube-columns-by-integrating-cond}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The methodology for evaluating the fire resistance performance of concrete-filled steel tube columns by integrating conditional tabular generative adversarial networks and random oversampling — https://4ort.xyz/entity/the-methodology-for-evaluating-the-fire-resistance-performance-of-concrete-filled-steel-tube-columns-by-integrating-cond (retrieved 2026-05-24)
