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심층 그래프 뉴럴네트워크를 이용한 종단간 인간 활동 인식: 희소 레이더 포인트 클라우드를 위한 데이터 증강 기법
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김지희 | - |
| dc.contributor.author | 박세준 | - |
| dc.contributor.author | 이가원 | - |
| dc.date.accessioned | 2025-09-09T09:04:32Z | - |
| dc.date.available | 2025-09-09T09:04:32Z | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/60925 | - |
| dc.title | 심층 그래프 뉴럴네트워크를 이용한 종단간 인간 활동 인식: 희소 레이더 포인트 클라우드를 위한 데이터 증강 기법 | - |
| dc.title.alternative | End-To-End Human Activity Recognition using Deep Graph Neural Networks with Data Augmentation for Sparse Radar Point Clouds data | - |
| dc.type | Patent | - |
| dc.publisher.location | 대한민국 | - |
| dc.contributor.assignee | 동국대학교산학협력단 | - |
| dc.date.application | 2022-10-13 | - |
| dc.date.registration | 2022-10-13 | - |
| dc.type.iprs | 소프트웨어 | - |
| dc.identifier.patentRegistrationNumber | C-2022-039190 | - |
| dc.identifier.patentApplicationNumber | 출원번호 없음 | - |
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