Article Versions Notes

Szűcs M, Szepesi T, Biedermann C, Cseh G, Jakubowski M, Kocsis G, König R, Krause M, Sitjes AP, the W7-X Team. A Deep Learning-Based Method to Detect Hot-Spots in the Visible Video Diagnostics of Wendelstein 7-X. Journal of Nuclear Engineering. 2022; 3(4):473-479. https://doi.org/10.3390/jne3040033

Szűcs, Máté, 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, no. 4: 473-479. https://doi.org/10.3390/jne3040033

Szűcs, M., Szepesi, T., Biedermann, C., Cseh, G., Jakubowski, M., Kocsis, G., König, R., Krause, M., Sitjes, A. P., & 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