| dc.contributor.author | Kim, Jooho | |
| dc.contributor.author | Kanumuri, Ruthvik | |
| dc.contributor.author | Hatzis, Joshua J. | |
| dc.contributor.author | Park, Sunyoung | |
| dc.contributor.author | Campbell, Patrick A. | |
| dc.contributor.author | Calhoun, Kristin M. | |
| dc.date.accessioned | 2026-08-20T21:09:15Z | |
| dc.date.available | 2026-08-20T21:09:15Z | |
| dc.date.copyright | 2026/06/08 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | NHREFO.NHENG-2701.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314035 | |
| dc.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 ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | CNN-Based Building Type Classification into EF Scale Categories to Support Tornado Damage Assessments | |
| dc.type | Journal Article | |
| dc.journal.volume | 27 | |
| dc.journal.issue | 3 | |
| dc.journal.title | Natural Hazards Review | |
| dc.identifier.doi | 10.1061/NHREFO.NHENG-2701 | |
| dc.journal.fristpage | 04026018-1 | |
| dc.journal.lastpage | 04026018-18 | |
| dc.page | 18 | |
| dc.tree | Natural Hazards Review:;2026:;Volume ( 027 ):;issue: 003 | |
| dc.contenttype | Fulltext | |