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被拒絕好幾次了，這次終于有回應(yīng)了，給了大修，意見如下，大佬們看看希望大不大 Reviewer #1: Dear authors, your model is good, but I suggest the following recommendations: 1. Improve the the figure 1 of densenet by adding more information. 2. How you have selected the hyper-parameters of the proposed model? 3. Please present the training loss analysis. 4. Need more comparative analysis. 5. Refer Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images and Deep neural network-based screening model for COVID-19-infected patients using chest X-ray images 發(fā)自小木蟲IOS客戶端 |
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10樓2021-05-18 16:02:34
Ttttttcc
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Reviewer #4: Dear Author, Article is well written. Need to incorporate the following points, Language check to be done Improve the Figure quality Highlight the research gap in existing work Denseunet is the existing method, Specify the author contribution in Proposed work Highlight the novelty of your work. Is it consuming, addition operation of convolutional layer Concise the conclusion Include some more keywords Cite more recent articles 發(fā)自小木蟲IOS客戶端 |
2樓2021-05-17 19:27:26
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