| contributor author | Kim, Jooho | |
| contributor author | Kanumuri, Ruthvik | |
| contributor author | Hatzis, Joshua J. | |
| contributor author | Park, Sunyoung | |
| contributor author | Campbell, Patrick A. | |
| contributor author | Calhoun, Kristin M. | |
| date accessioned | 2026-08-20T21:09:15Z | |
| date available | 2026-08-20T21:09:15Z | |
| date copyright | 2026/06/08 | |
| date issued | 2026 | |
| identifier other | NHREFO.NHENG-2701.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314035 | |
| description abstract | AbstractAccurate assessment of tornado impacts requires detailed information on building characteristics
that influence vulnerability. This study investigates a convolutional neural network
(CNN)-based approach to classify nonresidential buildings into ...Practical ApplicationsThis study shows how street-level imagery can be used to build a more detailed and
up-to-date building inventory focused on commercial and industrial structure, which
are often limited or generalized in national data sets such as ... | |
| publisher | American Society of Civil Engineers | |
| title | CNN-Based Building Type Classification into EF Scale Categories to Support Tornado Damage Assessments | |
| type | Journal Article | |
| journal volume | 27 | |
| journal issue | 3 | |
| journal title | Natural Hazards Review | |
| identifier doi | 10.1061/NHREFO.NHENG-2701 | |
| journal fristpage | 04026018-1 | |
| journal lastpage | 04026018-18 | |
| page | 18 | |
| tree | Natural Hazards Review:;2026:;Volume ( 027 ):;issue: 003 | |
| contenttype | Fulltext | |