Optimized deep learning framework for reliable prediction of pavement subgrade CBR
California Bearing Ratio (CBR) is a fundamental parameter determining the load-bearing capacity essential for pavement subgrade design. This study introduces a deep learning (DL) based predictive framework for estimating CBR of pavement subgrade soil. Utilizing data from Sudan and South Sudan, the s...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2025-09-01
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| Serie: | Transportation Engineering |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S2666691X25000818 |
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