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| Document Title | Author Full Name | Author Short Name | Index | Corresponding | Address | ResearcherID | ResearcherID Author Name | ORCID | ORCID Author Name | Related Email |
|---|---|---|---|---|---|---|---|---|---|---|
| Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI | Van, Linh Nguyen | Van, LN | 1 | Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, Sangju 37224, South Korea | leegiha@knu.ac.kr; | |||||
| Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI | Tran, Vinh Ngoc | Tran, VN | 2 | Univ Michigan, Dept Civil & Environm Engn, Ann Arbor, MI 48109 USA | leegiha@knu.ac.kr; | |||||
| Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI | V. Nguyen, Giang | Nguyen, GV | 3 | Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, Sangju 37224, South Korea | GQZ-4595-2022 | Nguyen, Giang | leegiha@knu.ac.kr; | |||
| Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI | Yeon, Minho | Yeon, M | 4 | Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, Sangju 37224, South Korea | leegiha@knu.ac.kr; | |||||
| Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI | Do, May Thi-Tuyet | Do, MTT | 5 | Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, Sangju 37224, South Korea | leegiha@knu.ac.kr; | |||||
| Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI | Lee, Giha | Lee, G | 6 | 교신저자 | Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, Sangju 37224, South Korea | leegiha@knu.ac.kr; | ||||
| Enlarged Eye-Box Accommodation-Capable Augmented Reality with Hologram Replicas | Moon, Woonchan | Moon, W | 1 | Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehak Ro, Daegu 41566, South Korea | wcmoon@office.knu.ac.kr;jhahn@knu.ac.kr; | |||||
| Enlarged Eye-Box Accommodation-Capable Augmented Reality with Hologram Replicas | Hahn, Joonku | Hahn, J | 2 | 교신저자 | Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehak Ro, Daegu 41566, South Korea | wcmoon@office.knu.ac.kr;jhahn@knu.ac.kr; | ||||
| Entropy-based sampling for efficient training of deep learning on CNC machining dataset | Sung, Mingyu | Sung, M | 1 | Kyungpook Natl Univ, Daegu, South Korea | jmkang@knu.ac.kr; | |||||
| Entropy-based sampling for efficient training of deep learning on CNC machining dataset | Park, Chaewon | Park, C | 2 | Kyungpook Natl Univ, Daegu, South Korea | jmkang@knu.ac.kr; | |||||
| Entropy-based sampling for efficient training of deep learning on CNC machining dataset | Ha, Sangjun | Ha, S | 3 | Kyungpook Natl Univ, Daegu, South Korea | jmkang@knu.ac.kr; | |||||
| Entropy-based sampling for efficient training of deep learning on CNC machining dataset | Ha, Minse | Ha, M | 4 | Kyungpook Natl Univ, Daegu, South Korea | jmkang@knu.ac.kr; | |||||
| Entropy-based sampling for efficient training of deep learning on CNC machining dataset | Lee, Hyeonuk | Lee, H | 5 | Korea Electrotechnol Res Inst, Ind Applicat Res Div, Chang Won, South Korea | jmkang@knu.ac.kr; | |||||
| Entropy-based sampling for efficient training of deep learning on CNC machining dataset | Kim, Jonggeun | Kim, J | 6 | Korea Electrotechnol Res Inst, Ind Applicat Res Div, Chang Won, South Korea | jmkang@knu.ac.kr; | |||||
| Entropy-based sampling for efficient training of deep learning on CNC machining dataset | Kang, Jae-Mo | Kang, JM | 7 | 교신저자 | Kyungpook Natl Univ, Daegu, South Korea | 0000-0002-8181-5994 | Kang, Jae-Mo | jmkang@knu.ac.kr; |
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