| contributor author | Subedi, Abhishek | |
| contributor author | Jahanshahi, Mohammad R. | |
| contributor author | Johnson, David R. | |
| date accessioned | 2026-08-20T10:40:28Z | |
| date available | 2026-08-20T10:40:28Z | |
| date copyright | 2025/11/20 | |
| date issued | 2025 | |
| identifier other | AOMJAH.AOENG-0089.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311104 | |
| description abstract | Abstract Accurate assessment of structural attributes is vital for flood risk evaluation and
mitigation planning. Manual surveys for such data are expensive and time-consuming,
while automated methods often rely solely on image-based models or narrowly ... | |
| publisher | American Society of Civil Engineers | |
| title | SAFNet: Artificial Intelligence–Based Multisource Heterogeneous Data Fusion for Comprehensive Building Attribute Prediction | |
| type | Journal Article | |
| journal volume | 3 | |
| journal issue | 1 | |
| journal title | ASCE OPEN: Multidisciplinary Journal of Civil Engineering | |
| identifier doi | 10.1061/AOMJAH.AOENG-0089 | |
| journal fristpage | 04025012-1 | |
| journal lastpage | 04025012-23 | |
| page | 23 | |
| tree | ASCE OPEN: Multidisciplinary Journal of Civil Engineering:;2025:;Volume ( 003 ):;issue: 001 | |
| contenttype | Fulltext | |