| Original language | Korean |
|---|---|
| Pages (from-to) | 475 |
| Journal | 한국데이터정보과학회지 |
| Volume | 32 |
| State | Published - 2021 |
딥러닝 기법과 잔차 크리깅을 이용한 지가 예측
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
| Original language | Korean |
|---|---|
| Pages (from-to) | 475 |
| Journal | 한국데이터정보과학회지 |
| Volume | 32 |
| State | Published - 2021 |