| contributor author | Canchila, Carlos | |
| contributor author | Song, Wei | |
| date accessioned | 2026-08-20T21:28:36Z | |
| date available | 2026-08-20T21:28:36Z | |
| date copyright | 2026/02/06 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-7422.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314518 | |
| description abstract | AbstractRapid and accurate windstorm damage assessment is critical for effective disaster
response. This assessment traditionally involves manual analysis of visual data collected
by experts after the disaster, which is time-consuming and cannot meet the ... | |
| publisher | American Society of Civil Engineers | |
| title | Vision Transformers and Pretraining for Windstorm Damage Assessment Using Internet Images | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 3 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-7422 | |
| journal fristpage | 04026022-1 | |
| journal lastpage | 04026022-14 | |
| page | 14 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003 | |
| contenttype | Fulltext | |
