| dc.contributor.author | Wong Chong, Oscar | |
| dc.contributor.author | Zhang, Jiansong | |
| dc.date.accessioned | 2026-08-20T21:22:58Z | |
| dc.date.available | 2026-08-20T21:22:58Z | |
| dc.date.copyright | 2026/02/04 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JCCEE5.CPENG-6258.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314368 | |
| dc.description.abstract | AbstractThe current labor shortage is adversely impacting the construction industry. Automation
and artificial intelligence (AI) have the potential to transform the architecture,
engineering, and construction (AEC) industry into a smarter, safer, and more ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Leveraging IFC-Based Locational Information for Work Package Generation to Support Analysis of Robot-Assisted Construction | |
| dc.type | Journal Article | |
| dc.journal.volume | 40 | |
| dc.journal.issue | 3 | |
| dc.journal.title | Journal of Computing in Civil Engineering | |
| dc.identifier.doi | 10.1061/JCCEE5.CPENG-6258 | |
| dc.journal.fristpage | 04026019-1 | |
| dc.journal.lastpage | 04026019-20 | |
| dc.page | 20 | |
| dc.tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003 | |
| dc.contenttype | Fulltext | |