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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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Deep learning-guided video compression for machine vision tasks | Park, Sang-hyo | Park, SH | 8 | 교신저자 | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea | W-9343-2019 | Park, Sang-hyo | 0000-0002-7282-7686 | Park, Sang-hyo | s.park@knu.ac.kr; |
| Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment | Ajani, Oladayo S. | Ajani, OS | 1 | Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea | HIR-9607-2022 | AJANI, Oladayo | 0000-0001-5796-3375 | Ajani, Oladayo | oladayosolomon@gmail.com;ivanfenyom@gmail.com;daisondarlan33@gmail.com;p.n.suganthan@qu.edu.qa;kzgao@must.edu.mo;mallipeddi.ram@gmail.com; | |
| Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment | Ivan, Dzeuban Fenyom | Ivan, DF | 2 | Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea | oladayosolomon@gmail.com;ivanfenyom@gmail.com;daisondarlan33@gmail.com;p.n.suganthan@qu.edu.qa;kzgao@must.edu.mo;mallipeddi.ram@gmail.com; | |||||
| Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment | Darlan, Daison | Darlan, D | 3 | Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea | KQA-9542-2024 | Darlan, Daison | 0000-0002-9185-9704 | Darlan, Daison | oladayosolomon@gmail.com;ivanfenyom@gmail.com;daisondarlan33@gmail.com;p.n.suganthan@qu.edu.qa;kzgao@must.edu.mo;mallipeddi.ram@gmail.com; | |
| Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment | Suganthan, P. N. | Suganthan, PN | 4 | Qatar Univ, KINDI Ctr Comp Res, Doha, Qatar | A-5023-2011 | Suganthan, Ponnuthurai | 0000-0003-0901-5105 | Suganthan, Ponnuthurai Nagaratnam | oladayosolomon@gmail.com;ivanfenyom@gmail.com;daisondarlan33@gmail.com;p.n.suganthan@qu.edu.qa;kzgao@must.edu.mo;mallipeddi.ram@gmail.com; | |
| Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment | Gao, Kaizhou | Gao, KZ | 5 | Macau Univ Sci & Technol, Macau, Macao, Peoples R China | A-3577-2016 | gao, kaizhou | oladayosolomon@gmail.com;ivanfenyom@gmail.com;daisondarlan33@gmail.com;p.n.suganthan@qu.edu.qa;kzgao@must.edu.mo;mallipeddi.ram@gmail.com; | |||
| Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment | Mallipeddi, Rammohan | Mallipeddi, R | 6 | 교신저자 | Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea | AAL-5306-2020 | Mallipeddi, Rammohan | 0000-0001-9071-1145 | Mallipeddi, Rammohan | oladayosolomon@gmail.com;ivanfenyom@gmail.com;daisondarlan33@gmail.com;p.n.suganthan@qu.edu.qa;kzgao@must.edu.mo;mallipeddi.ram@gmail.com; |
| Deep reinforcement learning for cooperative robots based on adaptive sentiment feedback | Jeon, Haein | Jeon, H | 1 | Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea | LXA-8688-2024 | Jeon, Haein | 0000-0002-3113-2191 | Jeon, Haein | haeinjeon.knu@gmail.com;dwkim@cau.ac.kr;kby09@knu.ac.kr; | |
| Deep reinforcement learning for cooperative robots based on adaptive sentiment feedback | Kim, Dae-Won | Kim, DW | 2 | 교신저자 | Chung Ang Univ, Sch Comp Sci & Engn, Seoul 06974, South Korea | haeinjeon.knu@gmail.com;dwkim@cau.ac.kr;kby09@knu.ac.kr; | ||||
| Deep reinforcement learning for cooperative robots based on adaptive sentiment feedback | Kang, Bo-Yeong | Kang, BY | 3 | 교신저자 | Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu 41566, South Korea | IXW-6764-2023 | Kang, Bo-Yeong | haeinjeon.knu@gmail.com;dwkim@cau.ac.kr;kby09@knu.ac.kr; | ||
| Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach | Adesanya, Misbaudeen Aderemi | Adesanya, MA | 1 | Kyungpook Natl Univ, Coll Agr & Life Sci, Dept Agr Civil Engn, Daegu 41566, South Korea | AAA-4664-2022 | Adesanya, Misbaudeen | 0000-0002-7335-4112 | Adesanya, Misbaudeen Aderemi | misbauadesanya@knu.ac.kr;obasekore.hammed@knu.ac.kr;rabiuanis@knu.ac.kr;wooks121@knu.ac.kr;ogunlowoqazeem@knu.ac.kr;akpenpuun.td@unilorin.edu.ng;mhkim001@kier.re.kr;bioani@gnu.ac.kr;kby09@knu.ac.kr;whlee@knu.ac.kr; | |
| Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach | Obasekore, Hammed | Obasekore, H | 2 | Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu 41566, South Korea | HTL-7429-2023 | Obasekore, Hammed | 0000-0002-1899-0925 | OBASEKORE, Hammed | misbauadesanya@knu.ac.kr;obasekore.hammed@knu.ac.kr;rabiuanis@knu.ac.kr;wooks121@knu.ac.kr;ogunlowoqazeem@knu.ac.kr;akpenpuun.td@unilorin.edu.ng;mhkim001@kier.re.kr;bioani@gnu.ac.kr;kby09@knu.ac.kr;whlee@knu.ac.kr; | |
| Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach | Rabiu, Anis | Rabiu, A | 3 | Kyungpook Natl Univ, Coll Agr & Life Sci, Dept Agr Civil Engn, Daegu 41566, South Korea | JXO-1947-2024 | RABIU, Anis | 0000-0002-4499-4161 | RABIU, Anis | misbauadesanya@knu.ac.kr;obasekore.hammed@knu.ac.kr;rabiuanis@knu.ac.kr;wooks121@knu.ac.kr;ogunlowoqazeem@knu.ac.kr;akpenpuun.td@unilorin.edu.ng;mhkim001@kier.re.kr;bioani@gnu.ac.kr;kby09@knu.ac.kr;whlee@knu.ac.kr; | |
| Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach | Na, Wook-Ho | Na, WH | 4 | Kyungpook Natl Univ, Smart Agr Innovat Ctr, Daegu 41566, South Korea | misbauadesanya@knu.ac.kr;obasekore.hammed@knu.ac.kr;rabiuanis@knu.ac.kr;wooks121@knu.ac.kr;ogunlowoqazeem@knu.ac.kr;akpenpuun.td@unilorin.edu.ng;mhkim001@kier.re.kr;bioani@gnu.ac.kr;kby09@knu.ac.kr;whlee@knu.ac.kr; | |||||
| Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach | Ogunlowo, Qazeem Opeyemi | Ogunlowo, QO | 5 | Kyungpook Natl Univ, Coll Agr & Life Sci, Dept Agr Civil Engn, Daegu 41566, South Korea | ABB-5386-2021 | OGUNLOWO, QAZEEM | 0000-0001-6595-8162 | OGUNLOWO, QAZEEM | misbauadesanya@knu.ac.kr;obasekore.hammed@knu.ac.kr;rabiuanis@knu.ac.kr;wooks121@knu.ac.kr;ogunlowoqazeem@knu.ac.kr;akpenpuun.td@unilorin.edu.ng;mhkim001@kier.re.kr;bioani@gnu.ac.kr;kby09@knu.ac.kr;whlee@knu.ac.kr; |
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