| dc.contributor.author | Awuku, Bright | |
| dc.contributor.author | Asa, Eric | |
| dc.date.accessioned | 2026-08-20T11:59:31Z | |
| dc.date.available | 2026-08-20T11:59:31Z | |
| dc.date.copyright | 2026/04/27 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JPCFEV.CFENG-5198.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312944 | |
| dc.description.abstract | AbstractTransportation agencies rely on accurate predictions of bridge substructure conditions
for planning, resource allocation, and ensuring the safety of their infrastructure.
Traditional deterioration models fail to adequately capture the complex ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Genetic Feature Selection and Multistage Deep Learning for Bridge Substructure Condition Prediction | |
| dc.type | Journal Article | |
| dc.journal.volume | 40 | |
| dc.journal.issue | 4 | |
| dc.journal.title | Journal of Performance of Constructed Facilities | |
| dc.identifier.doi | 10.1061/JPCFEV.CFENG-5198 | |
| dc.journal.fristpage | 04026018-1 | |
| dc.journal.lastpage | 04026018-18 | |
| dc.page | 18 | |
| dc.tree | Journal of Performance of Constructed Facilities:;2026:;Volume ( 040 ):;issue: 004 | |
| dc.contenttype | Fulltext | |
