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dc.contributor.authorXiao, Yifei
dc.contributor.authorYang, T. Y.
dc.contributor.authorPan, Xiao
dc.contributor.authorXie, Fan
dc.contributor.authorLiu, Ruiwu
dc.date.accessioned2026-08-20T21:28:21Z
dc.date.available2026-08-20T21:28:21Z
dc.date.copyright2026/05/27
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-7293.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314510
dc.description.abstractAbstractThe construction industry is facing significant challenges in labor shortages, low productivity, and safety issues. Although the implementation of robots can bring substantial advantages to the construction industry, the application of robotics in ...
dc.publisherAmerican Society of Civil Engineers
dc.titleDevelopment and Implementation of Machine Learning–Based Hierarchical Approach for Autonomous Retaining Wall Construction Using a Robotized Crane
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue5
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-7293
dc.journal.fristpage04026055-1
dc.journal.lastpage04026055-13
dc.page13
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005
dc.contenttypeFulltext


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