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The effects in the sensitivity analysis are proven in Fig. three. The product classification functionality suggests the FFE is able to extract important data from J-Textual content information and it has the possible being transferred towards the EAST tokamak.

The outcome additional prove that domain know-how aid Enhance the product efficiency. If utilised thoroughly, In addition it enhances the efficiency of the deep Mastering model by adding domain expertise to it when creating the product as well as the enter.

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Mixing data from the two goal and present devices is one way of transfer Finding out, instance-based mostly transfer learning. But the knowledge carried because of the constrained details in the concentrate on machine can be flooded by data from the present equipment. These is effective are completed among the tokamaks with similar configurations and sizes. Even so, the hole concerning potential tokamak reactors and any tokamaks current right now is rather large23,24. Sizes from the device, Procedure regimes, configurations, aspect distributions, disruption causes, characteristic paths, and various aspects will all final result in different plasma performances and different disruption processes. As a result, With this work we picked the J-Textual content as well as the EAST tokamak that have a considerable change in configuration, Procedure routine, time scale, element distributions, and disruptive will cause, to reveal the proposed transfer Understanding process.

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