51 citations · 104 across the 4 of their papers we have counts for
4 papers
Plasma Confinement Mode Classification Using a Sequence-to-Sequence Neural Network With Attention
Francisco Matos, Vlado Menkovski, Alessandro Pau +2
In a typical fusion experiment, the plasma can have several possible confinement modes. At the TCV tokamak, aside from the Low (L) and High (H) confinement modes, an additional mod…
Deep learning for Gaussian process tomography model selection using the ASDEX Upgrade SXR system
Francisco Matos, Jakob Svensson, Andrea Pavone +2
Gaussian process tomography (GPT) is a method used for obtaining real-time tomographic reconstructions of the plasma emissivity profile in a tokamak, given some model for the under…
Classification of tokamak plasma confinement states with convolutional recurrent neural networks
F. Matos, V. Menkovski, F. Felici +2
During a tokamak discharge, the plasma can vary between different confinement regimes: Low (L), High (H) and, in some cases, a temporary (intermediate state), called Dithering (D).…
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…