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dc.contributor.authorZhang, Anni
dc.date.accessioned2026-08-20T21:01:09Z
dc.date.available2026-08-20T21:01:09Z
dc.date.copyright2026/04/10
dc.date.issued2026
dc.identifier.otherJUPDDM.UPENG-5817.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313825
dc.description.abstractAbstract 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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleApplication of Deep Learning in the Digital Transformation of Urban Planning
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue2
dc.journal.titleJournal of Urban Planning and Development
dc.identifier.doi10.1061/JUPDDM.UPENG-5817
dc.journal.fristpage04026027-1
dc.journal.lastpage04026027-17
dc.page17
dc.treeJournal of Urban Planning and Development:;2026:;Volume ( 152 ):;issue: 002
dc.contenttypeFulltext


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