Explainable machine learning model for predicting compressive strength of CO2-cured concrete
Compared to conventional concrete, the factors to determine the compressive strength of CO2-cured concrete are more complex, and thus, predicting its compressive strength becomes more difficult. Herein, an explainable machine learning (ML) model was developed to predict the compressive strength of C...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509525003870 |
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