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2024 연구성과별 연구자 정보 (157 / 2344)
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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 |
|---|---|---|---|---|---|---|---|---|---|---|
| An Integrated Review of Health Care in Child and Adolescent Cancer Survivors Based on Roy's Adaptation Model | Lee, Eunjoo | Lee, E | 2 | 교신저자 | Kyungpook Natl Univ, Coll Nursing, 680 Gukchaebosang Ro, Daegu 41944, South Korea | jewelee@knu.ac.kr; | ||||
| An Integrated Review of Health Care in Child and Adolescent Cancer Survivors Based on Roy's Adaptation Model | Lee, Eunjoo | Lee, E | 2 | 교신저자 | Kyungpook Natl Univ, Res Inst Nursing Innovat, Coll Nursing, Daegu, South Korea | jewelee@knu.ac.kr; | ||||
| An Intelligent Hybrid Machine Learning Model for Sustainable Forecasting of Home Energy Demand and Electricity Price | Parizad, Banafshe | Parizad, B | 1 | RMIT Univ, Sch Engn, Melbourne 3000, Australia | 0009-0004-6373-1553 | Parizad, Banafshe | s4023374@student.rmit.edu.au;hranjbar@deakin.edu.au;alijamali@knu.ac.kr;hamid.khayyam@rmit.edu.au; | |||
| An Intelligent Hybrid Machine Learning Model for Sustainable Forecasting of Home Energy Demand and Electricity Price | Ranjbarzadeh, Hassan | Ranjbarzadeh, H | 2 | Deakin Univ, Sch Engn, Geelong 3217, Australia | s4023374@student.rmit.edu.au;hranjbar@deakin.edu.au;alijamali@knu.ac.kr;hamid.khayyam@rmit.edu.au; | |||||
| An Intelligent Hybrid Machine Learning Model for Sustainable Forecasting of Home Energy Demand and Electricity Price | Jamali, Ali | Jamali, A | 3 | RMIT Univ, Sch Engn, Melbourne 3000, Australia | AAX-5841-2020 | Jamali, Ali | 0000-0003-2592-6187 | Jamali, Ali | s4023374@student.rmit.edu.au;hranjbar@deakin.edu.au;alijamali@knu.ac.kr;hamid.khayyam@rmit.edu.au; | |
| An Intelligent Hybrid Machine Learning Model for Sustainable Forecasting of Home Energy Demand and Electricity Price | Jamali, Ali | Jamali, A | 3 | Kyungpook Natl Univ, Sch Elect Engn, Dept Artificial Intelligence, Daegu 37224, South Korea | AAX-5841-2020 | Jamali, Ali | 0000-0003-2592-6187 | Jamali, Ali | s4023374@student.rmit.edu.au;hranjbar@deakin.edu.au;alijamali@knu.ac.kr;hamid.khayyam@rmit.edu.au; | |
| An Intelligent Hybrid Machine Learning Model for Sustainable Forecasting of Home Energy Demand and Electricity Price | Khayyam, Hamid | Khayyam, H | 4 | 교신저자 | RMIT Univ, Sch Engn, Melbourne 3000, Australia | 0000-0001-9784-1452 | Khayyam, Hamid | s4023374@student.rmit.edu.au;hranjbar@deakin.edu.au;alijamali@knu.ac.kr;hamid.khayyam@rmit.edu.au; | ||
| An interpretable AI-derived radiology signature to identify patients at risk of progression on the PACIFIC regimen for unresectable non-small cell lung cancer | Maghsoudi, Omid Haji | Maghsoudi, OH | 1 | |||||||
| An interpretable AI-derived radiology signature to identify patients at risk of progression on the PACIFIC regimen for unresectable non-small cell lung cancer | Chung, Liam Il Young | Chung, LIY | 2 | IQU-0821-2023 | Chung, Liam Il-Young | |||||
| An interpretable AI-derived radiology signature to identify patients at risk of progression on the PACIFIC regimen for unresectable non-small cell lung cancer | Lee, Seyoung | Lee, S | 3 | |||||||
| An interpretable AI-derived radiology signature to identify patients at risk of progression on the PACIFIC regimen for unresectable non-small cell lung cancer | Lee, Jeeyeon | Lee, J | 4 | |||||||
| An interpretable AI-derived radiology signature to identify patients at risk of progression on the PACIFIC regimen for unresectable non-small cell lung cancer | Kim, Haseok | Kim, H | 5 | MDT-5309-2025 | Kim, Haseok | |||||
| An interpretable AI-derived radiology signature to identify patients at risk of progression on the PACIFIC regimen for unresectable non-small cell lung cancer | Hiremath, Amogh | Hiremath, A | 6 | AAO-3178-2021 | Hiremath, Amogh | |||||
| An interpretable AI-derived radiology signature to identify patients at risk of progression on the PACIFIC regimen for unresectable non-small cell lung cancer | Zhang, Kai | Zhang, K | 7 | |||||||
| An interpretable AI-derived radiology signature to identify patients at risk of progression on the PACIFIC regimen for unresectable non-small cell lung cancer | Cantor, Diego | Cantor, D | 8 |
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