| Residential College | false |
| Status | 已發表Published |
| Editorial: Spatial modelling and failure analysis of natural and engineering disasters through data-based methods | |
Liu, Jinquan1 ; Yang, Tao2,3; Yong, Zhou2,3; Wang, Song2,3; Huang, Gui2,3; Liang, Chaoheng2,3; Liu, Chen2,3; Xiao, Rong2,3
| |
| 2022-08-26 | |
| Media | Frontiers in Earth Science |
| DOI | 10.3389/feart.2022.1000540 |
| Keyword | Advanced Numerical Method Data-based Models Engineering Disasters Machine Learning Unfavorable Geology |
| Language | 英語English |
| URL | View the original |
| Scopus ID | 2-s2.0-85138071098 |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Other |
| Collection | Faculty of Science and Technology THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING |
| Corresponding Author | Liu, Jinquan |
| Affiliation | 1.State Key Laboratory on Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao 2.China Construction Eighth Engineering Bureau Co., Ltd, Shanghai, China 3.South Company of China Construction Eighth Engineering Bureau Co., Ltd, Nanning, China |
| First Author Affilication | University of Macau |
| Recommended Citation GB/T 7714 | Liu, Jinquan,Yang, Tao,Yong, Zhou,et al. Editorial: Spatial modelling and failure analysis of natural and engineering disasters through data-based methods. 2022-08-26. |
| Files in This Item: | There are no files associated with this item. | |||||
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