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Article
Peer-Review Record

Forecasting the Status of Municipal Waste in Smart Bins Using Deep Learning

Int. J. Environ. Res. Public Health 2022, 19(24), 16798; https://doi.org/10.3390/ijerph192416798
by Sabbir Ahmed 1,*, Sameera Mubarak 1, Jia Tina Du 1 and Santoso Wibowo 2
Reviewer 2: Anonymous
Int. J. Environ. Res. Public Health 2022, 19(24), 16798; https://doi.org/10.3390/ijerph192416798
Submission received: 5 November 2022 / Revised: 10 December 2022 / Accepted: 12 December 2022 / Published: 14 December 2022

Round 1

Reviewer 1 Report

Please see attached file

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

see attached

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

The manuscript is well-written and shares novel findings. However, the reviewer suggests the following comments for the improvement of the presented work.

INTRODUCTION

Include more latest references, and more recent studies report on a similar topic in 2022. Include at least a few more references.

RELATED STUDY

Can you further widen the comparison to at least one more country, USA, UK, Japan---- in Table 1

MATERIALS AND METHODS

Which computer programs are used and why? clearly mention in this section.

RESULTS AND DISCUSSIONS

Improve the quality of figure 7

further, elaborate on the comparison presented in table 5. How one can use it for research or practical application.

CONCLUSIONS

Conclusions are very general, please elaborate with reference to the main outcomes of the study.

 

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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