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Cho, Buseung
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1

Machine Learning Aided KREONET for Advanced Scientific Rese..:

, In: 2021 International Conference on Information and Communication Technology Convergence (ICTC),
Lee, Chankyun ; Jang, Minseok ; Noh, Minki. - p. 1683-1685 , 2021
Link: https://doi.org/10.1109/..
 
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2

Study on the SDN‐IP–based solution of well‐known bottleneck..:

Park, Hyoungwoo ; Cho, Buseung ; Hwang, Il‐sun.
Concurrency and Computation: Practice and Experience.  30 (2017)  1 - p. , 2017
Link: https://doi.org/10.1002/..
 
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3

CBR-based network performance management with multi-agent a..:

Cho, Buseung ; Kim, Kuinam J. ; Chung, Jin-Wook
Cluster Computing.  20 (2017)  1 - p. 757-767 , 2017
Link: https://doi.org/10.1007/..
 
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4

The Isolation Algorithm of Problem Location with Multi-agen..:

, In: Mobile and Wireless Technologies 2017; Lecture Notes in Electrical Engineering,
Cho, Buseung ; Kim, Kuinam J. ; Kim, Hyuncheol - p. 408-416 , 2017
Link: https://doi.org/10.1007/..
 
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5

Comparative analysis of darknet traffic characteristics bet..:

, In: 2015 17th International Conference on Advanced Communication Technology (ICACT),
Gadhia, Falguni ; Choi, Jangwon ; Cho, Buseung. - p. 59-64 , 2015
Link: https://doi.org/10.1109/..
 
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6

End-to-End Network Performance Management Framework Based o..:

Cho, Buseung ; Ahn, Seong-Jin ; Choi, Kyong-Ho..
Wireless Personal Communications.  94 (2015)  1 - p. 69-82 , 2015
Link: https://doi.org/10.1007/..
 
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7

A Study on the Future Strategy of KREONET through Analysis ..:

Seongjin Park ; Minki Noh ; Seunghae Kim...
https://data.doi.or.kr/10.1633/JISTaP.2022.10.S.15.  , 2022
Link: https://doi.org/10.1633/..
 
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