| contributor author | Zhang, Anni | |
| date accessioned | 2026-08-20T21:01:09Z | |
| date available | 2026-08-20T21:01:09Z | |
| date copyright | 2026/04/10 | |
| date issued | 2026 | |
| identifier other | JUPDDM.UPENG-5817.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313825 | |
| description abstract | Abstract This study demonstrates how deep learning technologies can enhance the efficiency
and accuracy of urban spatial layout optimization, cultural heritage preservation,
and transportation network planning. The study explores the application of deep ... | |
| publisher | American Society of Civil Engineers | |
| title | Application of Deep Learning in the Digital Transformation of Urban Planning | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 2 | |
| journal title | Journal of Urban Planning and Development | |
| identifier doi | 10.1061/JUPDDM.UPENG-5817 | |
| journal fristpage | 04026027-1 | |
| journal lastpage | 04026027-17 | |
| page | 17 | |
| tree | Journal of Urban Planning and Development:;2026:;Volume ( 152 ):;issue: 002 | |
| contenttype | Fulltext | |
