Zobrazeno 1 - 10
of 519
pro vyhledávání: '"Choi, Jaeho"'
The precipitation nowcasting methods have been elaborated over the centuries because rain has a crucial impact on human life. Not only quantitative precipitation forecast (QPF) models and convolutional long short-term memory (ConvLSTM), but also vari
Externí odkaz:
http://arxiv.org/abs/2211.15046
Publikováno v:
In Physical Communication August 2024 65
Publikováno v:
In Physical Communication April 2024 63
Autor:
Jung, Wook Ki, Ko, Seok-Young, Shin, Dahye, An, Sanghyuk, Park, Jinwoo, Choi, Jaeho, Lee, Kisu
Publikováno v:
In Ceramics International 1 February 2024 50(3) Part A:5007-5012
Publikováno v:
Science and Engineering of Composite Materials, Vol 30, Iss 1, Pp 55-106 (2023)
Phthalonitrile (PN) is a highly promising material in the field of high-performance thermosetting polymers due to its ability to maintain its properties even at extremely high temperatures. The goal of this study was to investigate the effects of var
Externí odkaz:
https://doaj.org/article/c1d5d4b3a1a741c2840a066bba23087d
Autor:
Choi, Jaeho, Kim, Joongheon
This paper proposes a new analysis of graph using the concept of electric potential, and also proposes a graph simplification method based on this analysis. Suppose that each node in the weighted-graph has its respective potential value. Furthermore,
Externí odkaz:
http://arxiv.org/abs/2009.11675
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:
http://arxiv.org/abs/2009.09423
This paper proposes a quantum approximate optimization algorithm (QAOA) method for wireless scheduling problems. The QAOA is one of the promising hybrid quantum-classical algorithms for many applications and it provides highly accurate optimization s
Externí odkaz:
http://arxiv.org/abs/2004.11229
Publikováno v:
In Ceramics International 15 December 2023 49(24) Part A:40511-40519
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