Dec 30, 2021 · One of such techniques is the use of spectrograms to analyze the magnetohydrodynamic (MHD) behavior of fusion plasmas. Physicists look at the ...
Dec 9, 2024 · One of such techniques is the use of spectrograms to analyze the magnetohydrodynamic (MHD) behavior of fusion plasmas. Physicists look at the ...
In this work, we use deep learning to predict the occurrence of locked modes from MHD spectrograms. In particular, we use a convolutional neural network with ...
Abstract In the nuclear fusion community, there are many specialized techniques to analyze the data coming from a variety of diagnostics.
Abstract In the nuclear fusion community, there are many specialized techniques to analyze the data coming from a variety of diagnostics.
In this work, we apply deep learning on MHD spectrograms to predict the locked mode itself and to identify the MHD behaviour that typically precedes mode ...
'Explainable #deeplearning for the analysis of #MHD spectrograms in #nuclearfusion' by. @diogo4u. T A Martins, P Rodrigues and JET @CulhamSC.
Missing: nuclear | Show results with:nuclear
Explainable deep learning for the analysis of MHD spectrograms in nuclear fusion ... deep learning for the analysis of MHD spectrograms in nuclear fusion
MHD spectrogram contribution to disruption prediction using ...
www.sciencedirect.com › article › pii
The primary objective of this study is to show that the contribution of the MHD spectrograms increases the disruption predictor performance. The final deep- ...
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: Explainable Deep Learning for the Analysis of MHD Spectrograms in Nuclear Fusion | In the nuclear fusion community, there are many specialized techniques ...