Residential College | false |
Status | 已發表Published |
Bayesian Learning Methods for Geotechnical Data | |
Yuen, Ka Veng1; Ching, Jianye2; Phoon, Kok Kwang3 | |
2021-03-01 | |
Media | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering |
DOI | 10.1061/AJRUA6.0001102 |
Language | 英語English |
URL | View the original |
Scopus ID | 2-s2.0-85095692586 |
Fulltext Access | |
Citation statistics | |
Document Type | Other |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) Faculty of Science and Technology DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING |
Corresponding Author | Yuen, Ka Veng |
Affiliation | 1.State Key Laboratory of Internet of Things for Smart City, Dept. of Civil and Environmental Engineering, Univ. of Macau, Taipa, Macao, 999078, China 2.Dept. of Civil Engineering, National Taiwan Univ., Taipei City, 10617, Taiwan 3.Dept. of Civil and Environmental Engineering, National Univ. of Singapore, Singapore, 119077, Singapore |
First Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Yuen, Ka Veng,Ching, Jianye,Phoon, Kok Kwang. Bayesian Learning Methods for Geotechnical Data. 2021-03-01. |
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