Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches
Abstract In this study, the replacement of raw rice husk, fly ash, and hydrated lime for fine aggregate and cement was evaluated in making raw rice husk-concrete brick. This study optimizes compressive strength, water absorption, and dry density of concrete brick containing recycled aggregates via R...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2023-09-01
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| Seri Bilgileri: | Scientific Reports |
| Online Erişim: | https://doi.org/10.1038/s41598-023-41848-1 |
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