| contributor author | Tang, Kexin | |
| contributor author | Shi, Wenzhong | |
| date accessioned | 2026-08-20T21:26:35Z | |
| date available | 2026-08-20T21:26:35Z | |
| date copyright | 2026/03/19 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-6962.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314460 | |
| description abstract | AbstractLabor shortages in the construction industry have limited traditional manual progress
monitoring, driving the demand for automated solutions. While many automated systems
leverage the scan-vs-building information modeling (BIM) method, their ...Practical ApplicationsTraditional methods of manual progress monitoring on construction sites are slow,
costly, and prone to inaccuracies, leading to payment disputes and delays. This research
proposes an automated framework to provide rapid, objective, ... | |
| publisher | American Society of Civil Engineers | |
| title | RandLA-Net-Assisted Scan-vs-BIM Framework with Adaptive Parameter Optimization for Construction Progress Monitoring | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 4 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6962 | |
| journal fristpage | 04026034-1 | |
| journal lastpage | 04026034-16 | |
| page | 16 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004 | |
| contenttype | Fulltext | |