| contributor author | Sharma, Atma | |
| contributor author | Zhang, Jie | |
| contributor author | Spagnoli, Giovanni | |
| contributor author | Huang, Zhongkai | |
| contributor author | Lu, Meng | |
| contributor author | Yao, Hongzeng | |
| contributor author | Wu, Shuangyi | |
| date accessioned | 2026-08-20T21:09:31Z | |
| date available | 2026-08-20T21:09:31Z | |
| date copyright | 2025/07/23 | |
| date issued | 2025 | |
| identifier other | AJRUA6.RUENG-1625.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314042 | |
| description abstract | AbstractAutomated change point detection in deformation monitoring data is desirable for engineering
applications (e.g., operation, maintenance, and early warning). This study proposes
a novel change point detection strategy using the Kullback–Leibler ... | |
| publisher | American Society of Civil Engineers | |
| title | Fast Semiautomatic Change Point Detection in Deformation Monitoring Using Kullback–Leibler Divergence | |
| type | Journal Article | |
| journal volume | 11 | |
| journal issue | 4 | |
| journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
| identifier doi | 10.1061/AJRUA6.RUENG-1625 | |
| journal fristpage | 04025057-1 | |
| journal lastpage | 04025057-10 | |
| page | 10 | |
| tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 004 | |
| contenttype | Fulltext | |
