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1
Development of machine learning model for automatic ELM-burst detection without hyperparameter adjustment in KSTAR tokamak

Song, Jiheon; Joung, Semin; Ghim, Young-Chul; Hahn, Sang-hee; Jang, Juhyeok; Lee, Jungpyo, NUCLEAR ENGINEERING AND TECHNOLOGY, v.55, no.1, pp.100 - 108, 2023-01

2
GS-DeepNet: mastering tokamak plasma equilibria with deep neural networks and the Grad-Shafranov equation

Joung, Semin; Ghim, Young-chul; Kim, Jaewook; Kwak, Sehyun; Kwon, Daeho; Sung, C.; Kim, D.; et al, SCIENTIFIC REPORTS, v.13, no.1, 2023-09

3
Imputation of faulty magnetic sensors with coupled Bayesian and Gaussian processes to reconstruct the magnetic equilibrium in real time

Joung, Semin; Kim, Jaewook; Kwak, Sehyun; Park, Kyeo-Reh; Hahn, S. H.; Han, H. S.; Kim, H. S.; et al, REVIEW OF SCIENTIFIC INSTRUMENTS, v.89, no.10, 2018-10

4
Non-monotonic radial structures of fluctuating temperatures and densities associated with fishbone activities in KSTAR

Lee, Wonjun; Kim, Jaewook; Joung, Semin; Choi, GJ; Kim, J; Woo, M; Rhee, T; et al, PHYSICS OF PLASMAS, v.30, no.2, 2023-02

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