| contributor author | Khatry, Kalyan | |
| contributor author | Elmi, Sayda | |
| contributor author | Samsami, Reihaneh | |
| date accessioned | 2026-08-20T10:40:51Z | |
| date available | 2026-08-20T10:40:51Z | |
| date copyright | 2026/02/20 | |
| date issued | 2026 | |
| identifier other | AOMJAH.AOENG-0091.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311115 | |
| description abstract | Abstract Inspecting concrete bridge decks is essential for ensuring infrastructure safety and
durability, yet traditional manual inspection methods are labor-intensive, time-consuming,
and prone to human error, creating demand for automated solutions. ... | |
| publisher | American Society of Civil Engineers | |
| title | Automated Concrete Bridge Deck Inspection Using Unmanned Aerial System–Collected Data: A Deep Learning Approach | |
| type | Journal Article | |
| journal volume | 4 | |
| journal issue | 1 | |
| journal title | ASCE OPEN: Multidisciplinary Journal of Civil Engineering | |
| identifier doi | 10.1061/AOMJAH.AOENG-0091 | |
| journal fristpage | 04026004-1 | |
| journal lastpage | 04026004-12 | |
| page | 12 | |
| tree | ASCE OPEN: Multidisciplinary Journal of Civil Engineering:;2026:;Volume ( 004 ):;issue: 001 | |
| contenttype | Fulltext | |
