Zobrazeno 1 - 10
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pro vyhledávání: '"Yang, Je"'
Multi-agent reinforcement learning (MARL) is a powerful technology to construct interactive artificial intelligent systems in various applications such as multi-robot control and self-driving cars. Unlike supervised model or single-agent reinforcemen
Externí odkaz:
http://arxiv.org/abs/2210.16624
Autor:
Minna Shin, Hyangju Kang, Kyeong ryeol Shin, Rangyeon Lee, Kiju Kim, Kyungmin Min, Kyou-Nam Cho, Eun-Ju Sohn, Kwang Sung Kim, Seok-Hyun Kim, Yang Je Cho, Jeongho Park, Tae-Wook Hahn
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Zika virus infection causes multiple clinical issues, including Guillain–Barré syndrome and neonatal malformation. Vaccination is considered as the only strategy for the prevention of ZIKV-induced clinical issues. This study developed a p
Externí odkaz:
https://doaj.org/article/b2143da9693849caa638bea9b260a84a
Autor:
Rahimipetroudi, Iman, Omer, Ahmed, Hwan Park, Seung, Haeng Hur, Jun, Won Lee, Dong, Rashid, Kashif, Bok Yang, Je, Keun Dong, Sang
Publikováno v:
In Applied Thermal Engineering 15 July 2024 249
Publikováno v:
RA-L 7(2):5151-5158, 2022
Lower-limb prosthesis wearers are more prone to falling than non-amputees. Powered prostheses can reduce this instability of passive prostheses. While shown to be more stable in practice, powered prostheses generally use model-independent control met
Externí odkaz:
http://arxiv.org/abs/2105.11561
In this paper, we present a deep reinforcement learning platform named FIXAR which employs fixed-point data types and arithmetic units for the first time using a SW/HW co-design approach. Starting from 32-bit fixed-point data, Quantization-Aware Trai
Externí odkaz:
http://arxiv.org/abs/2102.12103
Autor:
Omer, Ahmed, Kazmi, Wajahat Waheed, Rahimipetroudi, Iman, Syed, Muhammad Wasi, Rashid, Kashif, Yang, Je Bok, Lee, In Gu, Dong, Sang Keun
Publikováno v:
In Renewable Energy December 2023 219 Part 2
Publikováno v:
Molecules, Vol 29, Iss 9, p 2041 (2024)
A series of flavanols were synthesized to assess their biological activity against human non-small cell lung cancer cells (A549). Among the sixteen synthesized compounds, it was observed that compounds 6k (3.14 ± 0.29 µM) and 6l (0.46 ± 0.02 µM)
Externí odkaz:
https://doaj.org/article/b365189e857c44618def17dbe4fa26dc
Akademický článek
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Akademický článek
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Autor:
Kim HS; Department of Biological Environment, Kangwon National University, Chuncheon, 24341, Republic of Korea., Lee YK; Department of Environmental Horticulture, University of Seoul, Seoul, 02504, Republic of Korea., Park BJ; Department of Biological Environment, Kangwon National University, Chuncheon, 24341, Republic of Korea., Lee JE; Department of Biological Environment, Kangwon National University, Chuncheon, 24341, Republic of Korea., Jeong SS; Department of Biological Environment, Kangwon National University, Chuncheon, 24341, Republic of Korea., Kim KR; Agri-Food Bio Convergence Institute, Gyeongsang National University, Jinju, 52725, Republic of Korea., Kim SC; Department of Bio-Environmental Chemistry, Chungnam National University, Daejeon, 34134, Republic of Korea., Kirkham MB; Department of Agronomy, Kansas State University, Manhattan, KS, 66506-0110, USA., Yang JE; Department of Biological Environment, Kangwon National University, Chuncheon, 24341, Republic of Korea., Kim KH; Department of Environmental Horticulture, University of Seoul, Seoul, 02504, Republic of Korea., Yoon JH; Department of Biological Environment, Kangwon National University, Chuncheon, 24341, Republic of Korea. yoonfnfg@hanmail.net.
Publikováno v:
Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Mar; Vol. 31 (15), pp. 22802-22813. Date of Electronic Publication: 2024 Feb 27.