| contributor author | Mahmoudi, Negin | |
| contributor author | Ilbeigi, Mohammad | |
| date accessioned | 2026-08-20T12:00:13Z | |
| date available | 2026-08-20T12:00:13Z | |
| date copyright | 2025/12/17 | |
| date issued | 2026 | |
| identifier other | JPCFEV.CFENG-5322.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312958 | |
| description abstract | AbstractBridge condition assessment in many countries, including the US, relies on routine
inspections of all bridges at predetermined intervals, costing millions of dollars
each year. The significant cost of this approach, along with the availability of ... | |
| publisher | American Society of Civil Engineers | |
| title | Active Probabilistic Fast Kernel Extreme-Learning Machine for Data-Efficient Bridge Condition Prediction | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 2 | |
| journal title | Journal of Performance of Constructed Facilities | |
| identifier doi | 10.1061/JPCFEV.CFENG-5322 | |
| journal fristpage | 04025078-1 | |
| journal lastpage | 04025078-10 | |
| page | 10 | |
| tree | Journal of Performance of Constructed Facilities:;2026:;Volume ( 040 ):;issue: 002 | |
| contenttype | Fulltext | |
