| Residential College | false |
| Status | 已發表Published |
| Bayesian sparse grid (BSG) approach for information salvage in reliability assessment | |
LI LONG ; KUOK SIN CHI  ; YUEN KA VENG
| |
| 2024-04 | |
| Conference Name | The 4th International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2024) The 8th International Symposium on Uncertainty Modelling and Analysis (ISUMA 2024) |
| Conference Date | 2024-04-25 to 2024-04-28 |
| Conference Place | Shanghai |
| Country | China |
| Document Type | Conference paper |
| Collection | DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING |
| Corresponding Author | KUOK SIN CHI |
| Affiliation | State Key Laboratory of Internet of Things for Smart City, Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, and Department of Civil and Environmental Engineering, University of Macau, Macao SAR, China |
| First Author Affilication | University of Macau |
| Corresponding Author Affilication | University of Macau |
| Recommended Citation GB/T 7714 | LI LONG,KUOK SIN CHI,YUEN KA VENG. Bayesian sparse grid (BSG) approach for information salvage in reliability assessment[C], 2024. |
| APA | LI LONG., KUOK SIN CHI., & YUEN KA VENG (2024). Bayesian sparse grid (BSG) approach for information salvage in reliability assessment. . |
| Files in This Item: | There are no files associated with this item. | |||||
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