An Energy-Optimized Artificial Intelligence of Things (AIoT)-Based Biosensor Networking for Predicting COVID-19 Outbreaks in Healthcare Systems
Round 1
Reviewer 1 Report
The results are poorly described. Screenshoots of notebook images are pasted in the draft. Also the results look mysterious and identical, no effect on changing the number of layers and number of neurons. A better approach would be to use gridsearch or any other optimization methods to optimize tha parameters.
Datasets are not described, is it all done on synthtic data?
How such data based on smartwatch can be used for outbreak prediction, the author needs to establish this point.
Improvement in writing is required.
The results are poorly described. Screenshoots of notebook images are pasted in the draft. Also the results look mysterious and identical, no effect on changing the number of layers and number of neurons. A better approach would be to use gridsearch or any other optimization methods to optimize tha parameters.
Datasets are not described, is it all done on synthtic data?
How such data based on smartwatch can be used for outbreak prediction, the author needs to establish this point.
Improvement in writing is required.
Author Response
Please check the enclosed file for reviewer response 1
Author Response File: 
Author Response.pdf
Reviewer 2 Report
see attached file
See attached file
Comments for author File: Comments.pdf
Author Response
Please check the enclosed file for reviewer response 2
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
Authors should replace all the figures with high quality resolution, a method diagram is necessary. Long Captions should be added for readibility.
Authors should replace all the figures with high quality resolution, a method diagram is necessary. Long Captions should be added for readibility.
Author Response
We have addressed all reviewers comments on the manuscript.
Reviewer 2 Report
No further comments
No further comments
Author Response
Thanks reviewers for your time and efforts.
Round 3
Reviewer 1 Report
The paper still needs improvement in writing and presentation. Add long caption for the method figure and improve the quality of all images.
NA
Author Response
Response to Reviewer's Comment
The authors appreciate the reviewer's comments, and the manuscript has been updated in response to each comment, as indicated by "blue colored text”. The following sections present the action taken on each comment and how it has been resolved accordingly in the revised manuscript.
Comments to the Author:
Comments: The paper still needs improvement in writing and presentation. Add long caption for the method figure and improve the quality of all images.
Response: The authors appreciate the reviewer's incisive advice for enhancing the paper's quality.
The authors rechecked and improved the manuscript’s writing and presentation according to reviewer’s suggestion. Additionally, the authors added long caption which is highlighted in Figure 1. The authors also improved the quality of all images. We have enclosed all required images in the enclosed file. We have already inserted in the manuscript but if you need more clear images then insert the images from the enclosed files.
Author Response File: 
Author Response.docx
