A Deep Learning-Based Method to Detect Hot-Spots in the Visible Video Diagnostics of Wendelstein 7-X

MLA

Máté Szűcs, et al. “A Deep Learning-Based Method to Detect Hot-Spots in the Visible Video Diagnostics of Wendelstein 7-X.” Journal of Nuclear Engineering, vol. 3, no. 4, Dec. 2022, pp. 473–79. EBSCOhost, https://doi.org/10.3390/jne3040033.

APA

Máté Szűcs, Tamás Szepesi, Christoph Biedermann, Gábor Cseh, Marcin Jakubowski, Gábor Kocsis, Ralf König, Marco Krause, Aleix Puig Sitjes, & the W7-X Team. (2022). A Deep Learning-Based Method to Detect Hot-Spots in the Visible Video Diagnostics of Wendelstein 7-X. Journal of Nuclear Engineering, 3(4), 473–479. https://doi.org/10.3390/jne3040033

Chicago

Máté Szűcs, Tamás Szepesi, Christoph Biedermann, Gábor Cseh, Marcin Jakubowski, Gábor Kocsis, Ralf König, Marco Krause, Aleix Puig Sitjes, and the W7-X Team. 2022. “A Deep Learning-Based Method to Detect Hot-Spots in the Visible Video Diagnostics of Wendelstein 7-X.” Journal of Nuclear Engineering 3 (4): 473–79. doi:10.3390/jne3040033.