An Interpretable Hybrid Machine Learning Approach for Predicting the Compressive Strength of Internal-Curing Concrete Incorporating Recycled Roof-Tile Waste.
Saved in:
| Title: | An Interpretable Hybrid Machine Learning Approach for Predicting the Compressive Strength of Internal-Curing Concrete Incorporating Recycled Roof-Tile Waste. |
|---|---|
| Authors: | Khuat, Duy Dung1,2, Nguyen, Dam Duc2, Nguyen, May Huu1,3, Pham, Binh Thai1,3, Nakarai, Kenichiro1,2, nakarai@hiroshima-u.ac.jp |
| Source: | Buildings (2075-5309); Feb2026, Vol. 16 Issue 3, p674, 27p |
| Database: | Applied Science & Technology Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 20755309 |
|---|---|
| DOI: | 10.3390/buildings16030674 |
