Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Seunghyeok Oh"'
Publikováno v:
Applied Sciences, Vol 10, Iss 20, p 7116 (2020)
This paper proposes an application algorithm based on a quantum approximate optimization algorithm (QAOA) for wireless scheduling problems. QAOA is one of the promising hybrid quantum-classical algorithms to solve combinatorial optimization problems
Externí odkaz:
https://doaj.org/article/d9f7dd56ac32438d98149a0bec8b8e7e
Publikováno v:
Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) ISBN: 9781611977554
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ac7a711419d4583373db3a1ee4894c5
https://doi.org/10.1137/1.9781611977554.ch144
https://doi.org/10.1137/1.9781611977554.ch144
Publikováno v:
ICOIN
Over the past decades, various neural networks have been proposed with the rapid development of the machine learning field. In particular, graph neural networks using feature-vectors assigned to nodes and edges have been attracting attention in vario
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14b9574f3689aa4683ae1fa30d298427
https://doi.org/10.1109/icoin50884.2021.9333917
https://doi.org/10.1109/icoin50884.2021.9333917
Publikováno v:
ICOIN
Convolutional Neural Network (CNN) is a breakthrough learning model that shows outstanding performance in computer vision and deep learning applications. However, it is a relatively burdened model in terms of learning speed and resource usage compare
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6218202db2223413ec9237aa7a4e06a9
https://doi.org/10.1109/icoin50884.2021.9333906
https://doi.org/10.1109/icoin50884.2021.9333906
Publikováno v:
ICOIN
Advanced researches on the variational quantum algorithms are actively conducted. In particular, the quantum approximate optimization algorithm (QAOA) is one of the promising variational quantum algorithms and can be applied to various graph-based pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7213e94bc50af2f0e273d0c945672d64
https://doi.org/10.1109/icoin50884.2021.9333931
https://doi.org/10.1109/icoin50884.2021.9333931
Autor:
Haemin Lee, Jaesung Yoo, MyungJae Shin, Soohyun Park, Jaeho Choi, Jung-Hyun Kim, Yeongeun Kang, Park Seunghoon, Seunghyeok Oh, Dohyun Kim, Joongheon Kim, Won Joon Yun
Publikováno v:
ICOIN
Autonomous driving is one of the most popular research areas. The camera is the eyes of autonomous driving. The computer vision technology using such a camera is a core element for the popularization of autonomous driving. Autonomous driving is not o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b84f1ff3d9c3867cd08060feb7a4b341
https://doi.org/10.1109/icoin50884.2021.9333896
https://doi.org/10.1109/icoin50884.2021.9333896
Publikováno v:
ICOIN
The hottest topics for many researchers in the past five years were Artificial Intelligence (AI) and machine learning. With many kinds of researches using machine learning, numerous AI engineers are still emerging. If the center of current research t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33da2e8818afbf9df9810ef4ab9ce9a7
https://doi.org/10.1109/icoin48656.2020.9016555
https://doi.org/10.1109/icoin48656.2020.9016555
Publikováno v:
ICTC
Convolutional Neural Network (CNN) is a popular model in computer vision and has the advantage of making good use of the correlation information of data. However, CNN is challenging to learn efficiently if the given dimension of data or model becomes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::740ce7d87ad75e9e2eac5fcdf9410d04
Publikováno v:
Applied Sciences
Volume 10
Issue 20
Applied Sciences, Vol 10, Iss 7116, p 7116 (2020)
Volume 10
Issue 20
Applied Sciences, Vol 10, Iss 7116, p 7116 (2020)
This paper proposes an application algorithm based on a quantum approximate optimization algorithm (QAOA) for wireless scheduling problems. QAOA is one of the promising hybrid quantum-classical algorithms to solve combinatorial optimization problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e48e5ad48b6f8977390a189652666d69
Publikováno v:
Electronics, Vol 9, Iss 1669, p 1669 (2020)
Electronics
Volume 9
Issue 10
Electronics
Volume 9
Issue 10
This paper proposes an energy-efficient cluster head selection method in the wireless ad hoc network by using a hybrid quantum-classical approach. The wireless ad hoc network is divided into several clusters via cluster head selection, and the perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73bd9ddb7c3b2f19056eff50b443d97e
https://doi.org/10.3390/electronics9101669
https://doi.org/10.3390/electronics9101669