Hybrid extreme gradient boosting regressor models for the multi-objective mixture design optimization of cementitious mixtures incorporating mine tailings as fine aggregates

Research article (Cement and Concrete Composites, 2024) · cited 15× · AI/ML
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Hybrid extreme gradient boosting regressor models for the multi-objective mixture design optimization of cementitious mixtures incorporating mine tailings as fine aggregates

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Hybrid extreme gradient boosting regressor models for the multi-objective mixture design optimization of cementitious mixtures incorporating mine tailings as fine aggregates is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid extreme gradient boosting regressor models for the multi-objective mixture design optimization of cementitious mixtures incorporating mine tailings as fine aggregates. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-extreme-gradient-boosting-regressor-models-for-the-multi-objective-mixture-design-optimization-of-cementitious-mi
MLA “Hybrid extreme gradient boosting regressor models for the multi-objective mixture design optimization of cementitious mixtures incorporating mine tailings as fine aggregates.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-extreme-gradient-boosting-regressor-models-for-the-multi-objective-mixture-design-optimization-of-cementitious-mi.
BibTeX @misc{4ortxyz_hybrid-extreme-gradient-boosting-regressor-models-for-the-multi-objective-mixture-design-optimization-of-cementitious-mi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid extreme gradient boosting regressor models for the multi-objective mixture design optimization of cementitious mixtures incorporating mine tailings as fine aggregates}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-extreme-gradient-boosting-regressor-models-for-the-multi-objective-mixture-design-optimization-of-cementitious-mi}, note = {Accessed: 2026-05-24}}
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