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審稿意見回復(fù)求助
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5月投了一個IEEE的trans,上月返回大修審稿意見。一共四位審稿人,其中三位的審稿意見都非常細(xì)節(jié),很好答復(fù)。但這一位審稿人的審稿意見我回復(fù)起來十分困難,想請大家?guī)兔⒅\下: Comments to the Author 1. This paper proposed a deep-learning-based method for ----. 2. Scientific contribution of the paper should be showed with results and explained with details. 3. Comparative results are not enough. New results should be provided for comparison or comparative results should be given with explanations. 這篇文章主要內(nèi)容是使用深度學(xué)習(xí)故障實現(xiàn)分類和預(yù)測。在結(jié)果部分,我列出了分類的confusion matrix和預(yù)測結(jié)果與實際結(jié)果的對比,實在不清楚如何再進(jìn)一步修改了,麻煩大家?guī)兔纯矗? |
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