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우홍욱
Associate Professor
성균관대학교 정보통신대학 반도체시스템공학과
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논문[18]
#18. Federated Offline Reinforcement Learning for Autonomous Systems
2022.9
(DOI) https://doi.org/10.1007/978-3-031-17422-3_10
#17. Sample-Efficient Deep Learning Techniques for Burn Severity Assessment with Limited Data Conditions
2022.7 · Applied Sciences
(DOI) https://doi.org/10.3390/app12147317
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발표[5]
#5. Reinforcement Learning based Load Balancing in a Distributed Heterogeneous Storage System
2022 International Conference on Information Networking (ICOIN)
2022.1
#4. ML for RT: Priority Assignment Using Machine Learning
2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS)
2021.5
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Jun Hyeonbae
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Hyorin Kwon
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namhee wang
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Hyeonseon Yoo
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Suho Yoo
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