| dc.contributor.author | Mansour, Elise | |
| dc.contributor.author | Dhasmana, Heena | |
| dc.contributor.author | Mousa, Momen | |
| dc.contributor.author | Hassan, Marwa | |
| dc.date.accessioned | 2026-08-20T21:22:48Z | |
| dc.date.available | 2026-08-20T21:22:48Z | |
| dc.date.copyright | 2025/07/28 | |
| dc.date.issued | 2025 | |
| dc.identifier.other | JCCEE5.CPENG-6197.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314365 | |
| dc.description.abstract | AbstractHighway state agencies can achieve substantial budget savings through the strategic
allocation of resources for pavement maintenance and rehabilitation activities. To
achieve this, advanced prediction models are required that are capable of ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Development of a Machine Learning–Based Tool to Predict Asphalt Concrete Overlay Performance in Hot and Humid Climates | |
| dc.type | Journal Article | |
| dc.journal.volume | 39 | |
| dc.journal.issue | 6 | |
| dc.journal.title | Journal of Computing in Civil Engineering | |
| dc.identifier.doi | 10.1061/JCCEE5.CPENG-6197 | |
| dc.journal.fristpage | 04025086-1 | |
| dc.journal.lastpage | 04025086-17 | |
| dc.page | 17 | |
| dc.tree | Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006 | |
| dc.contenttype | Fulltext | |
