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Details

Published: Aug 01, 2023
Vol/Issue: 164
Pages: 106150
License: View

Authors

H

He Huang

Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, United States

H

Hao Hu

ZheJiang Academy of Agricultural Sciences

State Key Laboratory of Urban Water Resource and Environment, School of Civil and Environmental Engineering, Harbin Institute of Technology Shenzhen, Shenzhen 518055, China

Cite This Article

He Huang, Hao Hu, Feng Xu, et al. (2023). Skeleton-based automatic assessment and prediction of intrusion risk in construction hazardous areas. Safety Science, 164, 106150. https://doi.org/10.1016/j.ssci.2023.106150

Skeleton-based automatic assessment and prediction of intrusion risk in construction hazardous areas

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