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Prediction of ultimate condition of FRP-confined recycled aggregate concrete using a hybrid boosting model enriched with tabular generative adversarial networks
Research article (Thin-Walled Structures, 2022) · cited 63× · AI/ML
Prediction of ultimate condition of FRP-confined recycled aggregate concrete using a hybrid boosting model enriched with tabular generative adversarial networks
Summary
Prediction of ultimate condition of FRP-confined recycled aggregate concrete using a hybrid boosting model enriched with tabular generative adversarial networks is a scholarly article[1].
Key Facts
Prediction of ultimate condition of FRP-confined recycled aggregate concrete using a hybrid boosting model enriched with tabular generative adversarial networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Prediction of ultimate condition of FRP-confined recycled aggregate concrete using a hybrid boosting model enriched with tabular generative adversarial networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-ultimate-condition-of-frp-confined-recycled-aggregate-concrete-using-a-hybrid-boosting-model-enriched-with
MLA“Prediction of ultimate condition of FRP-confined recycled aggregate concrete using a hybrid boosting model enriched with tabular generative adversarial networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-ultimate-condition-of-frp-confined-recycled-aggregate-concrete-using-a-hybrid-boosting-model-enriched-with.
BibTeX@misc{4ortxyz_prediction-of-ultimate-condition-of-frp-confined-recycled-aggregate-concrete-using-a-hybrid-boosting-model-enriched-with_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of ultimate condition of FRP-confined recycled aggregate concrete using a hybrid boosting model enriched with tabular generative adversarial networks}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-ultimate-condition-of-frp-confined-recycled-aggregate-concrete-using-a-hybrid-boosting-model-enriched-with}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of ultimate condition of FRP-confined recycled aggregate concrete using a hybrid boosting model enriched with tabular generative adversarial networks — https://4ort.xyz/entity/prediction-of-ultimate-condition-of-frp-confined-recycled-aggregate-concrete-using-a-hybrid-boosting-model-enriched-with (retrieved 2026-05-24)
