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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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比特幣最需要保護的核心部分是私钥，因為用戶是以私鑰來證明所有權，並以此使用比特幣，存儲私密金鑰的介質也可以稱為錢包，當錢包遺失、損毀時，為比特幣丟失，離線錢包可以是纸钱包、脑钱包、冷钱包、轻量钱包。

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It is also important to indicate that these strategies printed within the literature reap the benefits of domain information linked to disruption15,19,22. The input diagnostics and options are consultant of disruption dynamics plus the approaches are created cautiously to raised fit the inputs. However, Many of them check with prosperous versions in Computer Eyesight (CV) or Organic Language Processing (NLP) apps. The look of those styles in CV or NLP applications are frequently affected by how human perceives the problems and greatly is dependent upon the character of the data and area knowledge34,35.

Aspect engineering may possibly benefit from a good broader domain understanding, which isn't unique to disruption prediction jobs and doesn't call for expertise in disruptions. Alternatively, knowledge-driven solutions find out with the vast level of knowledge amassed over the years and possess obtained great performance, but lack interpretability12,13,14,15,16,17,18,19,twenty. The two methods get pleasure from one other: rule-based techniques accelerate the calculation by surrogate versions, whilst information-driven strategies take advantage of domain awareness When picking enter indicators and planning the model. Currently, each techniques will need ample facts with the concentrate on tokamak for teaching the predictors ahead of they are applied. The majority of the other techniques published during the literature deal with predicting disruptions especially for just one unit and absence generalization potential. Given that unmitigated disruptions of a superior-effectiveness discharge would seriously hurt potential fusion reactor, it truly is tough to build up enough disruptive details, In particular at substantial efficiency regime, to coach a usable disruption predictor.

Then we implement the model for the target domain which happens to be EAST dataset by using a freeze&good-tune transfer Discovering procedure, and make comparisons with other techniques. We then analyze experimentally whether or not the transferred model can extract standard characteristics as well as the role Each individual Section of the model performs.

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