| contributor author | Min-Yuan Cheng | |
| contributor author | Nhat-Duc Hoang | |
| date accessioned | 2017-05-08T22:08:43Z | |
| date available | 2017-05-08T22:08:43Z | |
| date copyright | January 2016 | |
| date issued | 2016 | |
| identifier other | 33034175.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/72243 | |
| description abstract | Slope failures across mountain roads can damage man-made structures, interrupt traffic, and give rise to fatal accidents. Disastrous consequences of these hazards necessitate the approach for predicting their occurrences. In practice, slope collapse prediction can be formulated as a classification problem with two class labels: | |
| publisher | American Society of Civil Engineers | |
| title | Slope Collapse Prediction Using Bayesian Framework with K-Nearest Neighbor Density Estimation: Case Study in Taiwan | |
| type | Journal Paper | |
| journal volume | 30 | |
| journal issue | 1 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)CP.1943-5487.0000456 | |
| tree | Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001 | |
| contenttype | Fulltext | |
