| contributor author | Bayat, Mahmoud | |
| contributor author | Kharel, Subham | |
| contributor author | Li, Jianling | |
| date accessioned | 2026-08-20T12:10:04Z | |
| date available | 2026-08-20T12:10:04Z | |
| date copyright | 2025/07/01 | |
| date issued | 2025 | |
| identifier other | JSDCCC.SCENG-1799.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313176 | |
| description abstract | AbstractBridges are crucial to the global economy, facilitating mobility and accessibility.
Effective monitoring and maintenance of these structures are vital due to aging, heavy
traffic, and variable construction quality. While recent studies have ...Practical ApplicationsThe practical application of this research lies in its potential to enhance the accuracy
and efficiency of predicting bridge deck condition ratings. Traditionally, condition
ratings are assessed qualitatively by experts based on ... | |
| publisher | American Society of Civil Engineers | |
| title | An Autoencoder-Based Machine- and Deep-Learning Approach for Predicting Bridge Deck Conditions in Texas | |
| type | Journal Article | |
| journal volume | 30 | |
| journal issue | 4 | |
| journal title | Journal of Structural Design and Construction Practice | |
| identifier doi | 10.1061/JSDCCC.SCENG-1799 | |
| journal fristpage | 04025080-1 | |
| journal lastpage | 04025080-16 | |
| page | 16 | |
| tree | Journal of Structural Design and Construction Practice:;2025:;Volume ( 030 ):;issue: 004 | |
| contenttype | Fulltext | |