Tomographic Reconstruction of Imaging Diagnostics with a Generative Adversarial Network-Reference-Cited by-同舟云学术

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Tomographic Reconstruction of Imaging Diagnostics with a Generative Adversarial Network

Published:2019-07-30 Issue:0 Volume:14 Page:1202117-1202117
ISSN:1880-6821
Container-title:Plasma and Fusion Research
language:en
Short-container-title:Plasma and Fusion Research

Author:

KENMOCHI Naoki¹,NISHIURA Masaki²,NAKAMURA Kaori¹,YOSHIDA Zensho¹

Affiliation:

1. The University of Tokyo

2. National Institute for Fusion Science

Publisher

Japan Society of Plasma Science and Nuclear Fusion Research

Subject

Condensed Matter Physics

Link

https://www.jstage.jst.go.jp/article/pfr/14/0/14_1202117/_pdf

Reference12 articles.

1. [1] D.R. Ferreira et al., Fusion Sci. Technol. 74, 47 (2018).

2. [2] I. Goodfellow et al., in Proc. NIPS, 2672 (2014).

3. [3] P. Isola et al., arXiv:1611.07004 (2016).

4. [4] K. Nakamura et al., Rev. Sci. Instrum. 89, 10D133 (2018).

5. [5] Z. Yoshida et al., Phys. Rev. Lett. 104, 235004 (2010).

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2. Inward diffusion driven by low frequency fluctuations in self-organizing magnetospheric plasma;Nuclear Fusion;2022-01-05

3. From period to quasiperiod to chaos: A continuous spectrum of orbits of charged particles trapped in a dipole magnetic field;Chaos: An Interdisciplinary Journal of Nonlinear Science;2020-12

4. Collective Thomson scattering with 77, 154, and 300 GHz sources in LHD;Journal of Instrumentation;2020-01-02

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