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A deconvolutional neural network for plasma tomography, and disruption prediction, and anomaly detection

PFN has developed a technology for plasma tomography in real-time which allows monitoring the radiated power at the outboard edge, at the plasma core, and at the divertor region. Using this model, the tomographic reconstruction can be performed in milliseconds, instead of seconds or even minutes with standard techniques. This technique can be transferred to a wide range of applications, such as disturbance prediction or anomaly/defect detection across all industries (transport vehicles; prediction of seismological events; classification of astronomical objects; medical image processing; detection and/or segmentation of objects)

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