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We built the deep learning-based FFE neural community composition determined by the knowledge of tokamak diagnostics and simple disruption physics. It is actually confirmed the opportunity to extract disruption-linked designs successfully. The FFE gives a Basis to transfer the model into the focus on area. Freeze & great-tune parameter-based mostly
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