| contributor author | Zhang, Ruichuan | |
| contributor author | Sapkota, Jharana | |
| contributor author | Krall, Jenna | |
| date accessioned | 2026-08-20T21:26:46Z | |
| date available | 2026-08-20T21:26:46Z | |
| date copyright | 2025/11/17 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-7003.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314465 | |
| description abstract | AbstractThe construction sector is a major contributor to air pollution, emitting large volumes
of particulate matter that pose significant health and environmental risks. Construction
activities, such as excavation, material transport, and vehicle ... | |
| publisher | American Society of Civil Engineers | |
| title | Multimodal Data Fusion and Deep Learning for Predicting Air Pollution at Construction Sites | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 2 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-7003 | |
| journal fristpage | 04025132-1 | |
| journal lastpage | 04025132-14 | |
| page | 14 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002 | |
| contenttype | Fulltext | |
