| contributor author | Tajmiri, Sina | |
| contributor author | Kim, Boyoung | |
| contributor author | Gharti, Hom Nath | |
| contributor author | Jeong, Chanseok | |
| date accessioned | 2026-08-20T10:51:30Z | |
| date available | 2026-08-20T10:51:30Z | |
| date copyright | 2026/04/09 | |
| date issued | 2026 | |
| identifier other | JENMDT.EMENG-8742.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311360 | |
| description abstract | AbstractThis study presents a deep learning framework, based on wave responses and a three-dimensional
convolutional neural network (3D-CNN), for detecting subsurface cavities in a 3D homogeneous
semi-infinite domain. In the data generation process, the ... | |
| publisher | American Society of Civil Engineers | |
| title | Void Detection in a 3D Semi-Infinite Solid Using Elastic Waves and a Proximity Function to Address Class Imbalance in CNN-Powered Grid-Wise Classification | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 6 | |
| journal title | Journal of Engineering Mechanics | |
| identifier doi | 10.1061/JENMDT.EMENG-8742 | |
| journal fristpage | 04026021-1 | |
| journal lastpage | 04026021-22 | |
| page | 22 | |
| tree | Journal of Engineering Mechanics:;2026:;Volume ( 152 ):;issue: 006 | |
| contenttype | Fulltext | |
