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An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization
Research article (Case Studies in Construction Materials, 2025) · cited 27× · AI/ML
An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization
Summary
An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization is a scholarly article[1].
Key Facts
An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-ultrasonic-ai-hybrid-approach-for-predicting-void-defects-in-concrete-filled-steel-tubes-via-enhanced-xgboost-with-ba
MLA“An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-ultrasonic-ai-hybrid-approach-for-predicting-void-defects-in-concrete-filled-steel-tubes-via-enhanced-xgboost-with-ba.
BibTeX@misc{4ortxyz_an-ultrasonic-ai-hybrid-approach-for-predicting-void-defects-in-concrete-filled-steel-tubes-via-enhanced-xgboost-with-ba_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization}}, year = {2026}, url = {https://4ort.xyz/entity/an-ultrasonic-ai-hybrid-approach-for-predicting-void-defects-in-concrete-filled-steel-tubes-via-enhanced-xgboost-with-ba}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization — https://4ort.xyz/entity/an-ultrasonic-ai-hybrid-approach-for-predicting-void-defects-in-concrete-filled-steel-tubes-via-enhanced-xgboost-with-ba (retrieved 2026-05-24)
