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Sensors
Volume 25
Issue 3
10.3390/s25030922
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Article
Peer-Review Record

A Deep Learning Model for Detecting the Arrival Time of Weak Underwater Signals in Fluvial Acoustic Tomography Systems

Sensors 2025, 25(3), 922; https://doi.org/10.3390/s25030922
by Weicong Zheng 1, Xiaojian Yu 2,*, Xuming Peng 3,4,5, Chen Yang 3,4,5, Shu Wang 1,3,4, Hanyin Chen 3,4,6, Zhenxuan Bu 3,4,5, Yu Zhang 3,4,5, Yili Zhang 2 and Lingli Lin 2
Reviewer 1:
Avik Kumar DAS
Reviewer 2: Anonymous
Sensors 2025, 25(3), 922; https://doi.org/10.3390/s25030922
Submission received: 17 December 2024 / Revised: 19 January 2025 / Accepted: 28 January 2025 / Published: 3 February 2025
(This article belongs to the Special Issue Sensors Technologies for Measurements and Signal Processing)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

My comments are attached within the manuscript.

Comments for author File: Comments.pdf

Comments on the Quality of English Language

Please recheck the grammar and sentences once more.

Author Response

Please see the attachment

Author Response File: Author Response.docx

Reviewer 2 Report

Comments and Suggestions for Authors

Comments are presented in the attached file "review-comments.docx".

Comments for author File: Comments.pdf

Author Response

Please see the attachment

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

Thank you for improving the manuscript. I am afraid I sent the wrong DOI. The correct DOI is as follows. Please correct the previous unresolved comment.

https://doi.org/10.1177/14759217211036881

Author Response

Comments 1: [Thank you for improving the manuscript. I am afraid I sent the wrong DOI. The correct DOI is as follows. Please correct the previous unresolved comment.

https://doi.org/10.1177/14759217211036881]

Response 1: [Thank you for your suggestions. We have revised the previous unresolved comments based on your suggestions. This change can be found on page 2 line 57,58.]

Reviewer 2 Report

Comments and Suggestions for Authors

This is an improved version of the manuscript. I can see the authors have made efforts to address my concerns in the revised manuscripts. They are acceptable.

Author Response

Comments 1: [This is an improved version of the manuscript. I can see the authors have made efforts to address my concerns in the revised manuscripts. They are acceptable.]

Response 1: [Thank you for your recognition. Your acknowledgment greatly motivates us, and we will continue to work hard.]

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