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多重签名技术指多个用户同时对一个数字资产进行签名。多私钥验证，提高数字资产的安全性。

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Performances between the three designs are shown in Desk one. The disruption predictor determined by FFE outperforms other types. The design according to the SVM with manual function extraction also beats the final deep neural community (NN) design by an enormous margin.

The goal of this analysis should be to Enhance the disruption prediction performance on focus on tokamak with mostly expertise from your resource tokamak. The model effectiveness on target domain mainly depends upon the effectiveness from the design within the supply domain36. Thus, we very first have to have to obtain a substantial-performance pre-experienced model with J-TEXT knowledge.

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