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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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Predicting and optimizing forward osmosis membrane operation using machine learning | Jeong, Kwanho | Jeong, K | 2 | Chosun Univ, Dept Environm Engn, Gwangju 61452, South Korea | sungyunlee@knu.ac.kr; | |||||
| Predicting and optimizing forward osmosis membrane operation using machine learning | Lee, Haelyong | Lee, H | 3 | Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, 2559 Gyeongsang-daero, Sangju 37224, South Korea | sungyunlee@knu.ac.kr; | |||||
| Predicting and optimizing forward osmosis membrane operation using machine learning | Park, Jongkwan | Park, J | 4 | Changwon Natl Univ, Dept Environm & Energy Engn, Chang Won 51140, Gyeongsangnamdo, South Korea | sungyunlee@knu.ac.kr; | |||||
| Predicting and optimizing forward osmosis membrane operation using machine learning | Hong, Bum Ui | Hong, BU | 5 | Inst Adv Engn, Bio Resource Ctr, Yongin 17180, South Korea | sungyunlee@knu.ac.kr; | |||||
| Predicting and optimizing forward osmosis membrane operation using machine learning | Kang, Ho Geun | Kang, HG | 6 | BIN TECH KOREA Co Ltd, A 3S52,158-10 Sajik Daero 361 Beon Gil, Cheongju, Chungcheongbuk, South Korea | sungyunlee@knu.ac.kr; | |||||
| Predicting and optimizing forward osmosis membrane operation using machine learning | Shon, Ho Kyong | Shon, HK | 7 | Univ Technol Sydney, Sch Civil & Environm Engn, Sydney, NSW 2007, Australia | P-7057-2015 | Shon, Ho | sungyunlee@knu.ac.kr; | |||
| Predicting and optimizing forward osmosis membrane operation using machine learning | Lee, Sungyun | Lee, S | 8 | 교신저자 | Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, 2559 Gyeongsang-daero, Sangju 37224, South Korea | sungyunlee@knu.ac.kr; | ||||
| Predicting and optimizing forward osmosis membrane operation using machine learning | Lee, Sungyun | Lee, S | 8 | 교신저자 | Kyungpook Natl Univ, Dept Environm & Safety Engn, 2559 Gyeongsang Daero, Sangju Si 37224, South Korea | sungyunlee@knu.ac.kr; | ||||
| Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea | Noh, Junhyug | Noh, J | 1 | Ewha Womans Univ, Dept Artificial Intelligence, Seoul, South Korea | ADR-6172-2022 | Noh, Junhyug | jungpyolee@snu.ac.kr;ykd9062@gmail.com; | |||
| Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea | Park, Sun Young | Park, SY | 2 | Univ Ulsan, Ulsan Univ Hosp, Coll Med, Dept Internal Med, Ulsan, South Korea | jungpyolee@snu.ac.kr;ykd9062@gmail.com; | |||||
| Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea | Bae, Wonho | Bae, W | 3 | Univ British Columbia, Vancouver, BC, Canada | jungpyolee@snu.ac.kr;ykd9062@gmail.com; | |||||
| Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea | Kim, Kangil | Kim, K | 4 | Gwangju Inst Sci & Technol GIST, Sch Elect Engn & Comp Sci, Gwangju, South Korea | MHQ-0084-2025 | Kim, Kangil | jungpyolee@snu.ac.kr;ykd9062@gmail.com; | |||
| Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea | Cho, Jang-Hee | Cho, JH | 5 | Kyungpook Natl Univ, Coll Med, Dept Internal Med, Daegu, South Korea | ABD-3534-2020 | Cho, Jang-hee | jungpyolee@snu.ac.kr;ykd9062@gmail.com; | |||
| Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea | Lee, Jong Soo | Lee, JS | 6 | Univ Ulsan, Ulsan Univ Hosp, Coll Med, Dept Internal Med, Ulsan, South Korea | jungpyolee@snu.ac.kr;ykd9062@gmail.com; | |||||
| Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea | Lee, Jong Soo | Lee, JS | 6 | Univ Ulsan, Basic Clin Convergence Res Inst, Ulsan, South Korea | jungpyolee@snu.ac.kr;ykd9062@gmail.com; |
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