53 citations · 133 across the 4 of their papers we have counts for
4 papers
Deep Learning for the Analysis of Disruption Precursors based on Plasma Tomography
Diogo R. Ferreira, Pedro J. Carvalho, Carlo Sozzi +2
The JET baseline scenario is being developed to achieve high fusion performance and sustained fusion power. However, with higher plasma current and higher input power, an increase…
Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data
Diogo R. Ferreira, Pedro J. Carvalho, Horácio Fernandes
The use of deep learning is facilitating a wide range of data processing tasks in many areas. The analysis of fusion data is no exception, since there is a need to process large am…
Full-pulse Tomographic Reconstruction with Deep Neural Networks
Diogo R. Ferreira, Pedro J. Carvalho, Horácio Fernandes
Plasma tomography consists in reconstructing the 2D radiation profile in a poloidal cross-section of a fusion device, based on line-integrated measurements along several lines of s…
Deep learning for plasma tomography using the bolometer system at JET
Francisco A. Matos, Diogo R. Ferreira, Pedro J. Carvalho +1
Deep learning is having a profound impact in many fields, especially those that involve some form of image processing. Deep neural networks excel in turning an input image into a s…