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轻量钱包：指无需同步区块链的比特币钱包，轻量钱包相对在线钱包的优点是不会因为在线钱包网站的问题而丢失比特币，缺点是只能在已安装轻量钱包的电脑或手机上使用，便捷性上略差。
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These results show the model is more sensitive to unstable situations and has an increased Wrong alarm amount when utilizing precursor-relevant labels. When it comes to disruption prediction by itself, it is often superior to own additional precursor-linked labels. On the other hand, For the reason that disruption predictor is built to trigger the DMS efficiently and minimize incorrectly elevated alarms, it can be an best choice to use regular-based mostly labels rather than precursor-relate labels inside our function. Due to this fact, we in the end opted to implement a constant to label the “disruptive�?samples to strike a harmony between sensitivity and Wrong alarm charge.
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随着比特币交易在数字平台上进行，存在欺诈、诈骗和黑客攻击的风险。然而，领先的交易所已采取措施保护用户免受这些威胁。作为数字货币交易者，您还可以采取很多措施来保护自己，例如使用双因素身份验证并努力保护钱包的私钥和助记词。
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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当你想进行支付时，你只需将比特币发送到收件人的钱包地址，然后由矿工验证交易并记录在区块链上。比特币交易快速、廉价、安全。
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Our deep Studying design, or disruption predictor, is made up of the attribute extractor as well as a classifier, as is shown in Fig. one. The aspect extractor includes ParallelConv1D levels and LSTM levels. The ParallelConv1D layers are created to extract spatial capabilities and temporal characteristics with a comparatively compact time scale. Various temporal functions with unique time scales are sliced with distinctive sampling rates and timesteps, respectively. To prevent mixing up data of different channels, a construction of parallel convolution 1D layer is taken. Distinct channels are fed into diverse parallel convolution 1D levels independently to offer individual output. The functions extracted are then stacked and concatenated along with other diagnostics that don't need aspect extraction on a little time scale.
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Parameter-primarily based transfer Studying can be very handy in transferring disruption prediction types in potential reactors. ITER is developed with a major radius of six.2 m along with a insignificant radius of two.0 m, and can be operating in an exceedingly unique working regime and state of affairs than any of the prevailing tokamaks23. On this function, we transfer the resource design educated with the mid-sized round limiter plasmas on J-Textual content tokamak into a much larger-sized and non-round divertor plasmas on EAST tokamak, with just a few details. The prosperous demonstration suggests the proposed technique is predicted to lead to predicting disruptions in ITER with knowledge learnt from current tokamaks with different configurations. Specially, to be able to Increase the efficiency of your goal area, it really is of terrific significance to Increase the overall performance with the source domain.