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jsxzyyl新蟲 (初入文壇)
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[交流]
投稿進(jìn)入了major revision階段,收到審稿人意見,該如何回復(fù)或修改 已有1人參與
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審稿人2 1.What is the Zigg index of the coal and gaunge considered for this experimental analysis. 4. Why only deep learning based is presented. Authors supposed to present a comparative study of deep learning with other machine learning AI methods. 審稿人4 1. the paper is rich in experiments, but lacks in innovation, and the innovation in structure is mainly reflected in the introduction of KAN network in ResNet3D, without further improvement. 5. The essence of this study is a voxel-based classification problem, but the methods used in the comparison experiments are relatively old. If conditions permit, it is recommended to compare with methods in the field of 3D vision, where there are many advanced methods for voxel-based classification and segmentation. 總結(jié)了這幾個(gè)問(wèn)題不知道該如何回復(fù),我個(gè)人的態(tài)度更傾向于直接解釋說(shuō)明理由不對(duì)論文修改,還有想問(wèn)一下審稿人2中的第一問(wèn)Zigg index是什么意思,查了半天都沒(méi)有任何信息,問(wèn)了好多人也不知道(是否是審稿人筆誤了?)最近就要返稿了,很急,希望大家?guī)蛶兔Α? |
超級(jí)版主 (文學(xué)泰斗)
No gains, no pains.
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專家經(jīng)驗(yàn): +21105 |
新蟲 (初入文壇)
送紅花一朵 |
感謝回復(fù),zigg index就是問(wèn)過(guò)了導(dǎo)師和同門,他們也不知道,谷歌學(xué)術(shù),wos也找不到,所以才有疑問(wèn),會(huì)不會(huì)是審稿人筆誤了 發(fā)自小木蟲IOS客戶端 |
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