Advanced machine learning approaches for predicting compressive and flexural strength of carbon nanotube–reinforced cement composites: a comparative study and model interpretability analysis
The accurate prediction of the compressive strength (CS) and flexural strength (FS) of carbon nanotube (CNT)-reinforced cement composites is critical for optimizing their performance in construction applications. However, traditional experimental investigations are time-consuming and resource-intens...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
De Gruyter
2025-12-01
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| Serier: | Nanotechnology Reviews |
| Fag: | |
| Online adgang: | https://doi.org/10.1515/ntrev-2025-0252 |
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