| contributor author | Sharma, Atma | |
| contributor author | Zhang, Jie | |
| contributor author | Wu, Shuangyi | |
| contributor author | Lu, Meng | |
| contributor author | Huang, Zhong-Kai | |
| date accessioned | 2026-08-20T21:22:24Z | |
| date available | 2026-08-20T21:22:24Z | |
| date copyright | 2026/04/21 | |
| date issued | 2026 | |
| identifier other | AJRUA6.RUENG-1732.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314353 | |
| description abstract | AbstractDifferentiating between microseismic and blasting events is a classical task in underground
excavation monitoring. Most of the machine learning methods utilized for this task
are supervised and require labeled data. To this aspect, this study ... | |
| publisher | American Society of Civil Engineers | |
| title | Fast Automatic Segmentation of Microseismic and Blasting Events without Labeled Data Using Sparse Graph Spectral Clustering | |
| type | Journal Article | |
| journal volume | 12 | |
| journal issue | 3 | |
| journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
| identifier doi | 10.1061/AJRUA6.RUENG-1732 | |
| journal fristpage | 04026022-1 | |
| journal lastpage | 04026022-10 | |
| page | 10 | |
| tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 003 | |
| contenttype | Fulltext | |
