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Article
Peer-Review Record

Ship Classification Based on AIS Data and Machine Learning Methods

Electronics 2024, 13(1), 98; https://doi.org/10.3390/electronics13010098
by I-Lun Huang 1, Man-Chun Lee 2, Chung-Yuan Nieh 3 and Juan-Chen Huang 1,2,*
Reviewer 1: Anonymous
Reviewer 2:
Reviewer 3:
Electronics 2024, 13(1), 98; https://doi.org/10.3390/electronics13010098
Submission received: 14 November 2023 / Revised: 16 December 2023 / Accepted: 21 December 2023 / Published: 25 December 2023

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The paper introduces a ship-type classification model based on machine learning.  A classification study is presented in order to study the ship behavior within the confines of the Changhua Wind Farm Channel.

1. The presentation of tables must be improved (remove some borders).

2. Improve the presentation of some equationes and mathematical writing (for example, in Eq. (1) put "Length" and "Beam" in roman style).

3. The exploratory analyzes presented in Table 3 and Figures 6-7 should be expanded, those statistics and plots are very informative. Explain in more  detail characteristics of the data.

4. The code used on the paper should be made available to the readers.

5. What disadvantages does the methodology used have? This should also be covered in depth in the paper.

6. Section 5 (Conclusions and Future Work) should be expanded by adding comment on the research gaps and research objectives.

Author Response

On behalf of my co-authors and myself, I would like to extend our sincerest gratitude for the opportunity to revise our manuscript. We deeply appreciate the insightful and constructive feedback provided by the reviewer on our manuscript titled “Ship Classification Based on AIS Data in Changhua Wind Farm Channel” (ID: electronics-2745211). We have meticulously reviewed all comments and have made comprehensive revisions accordingly. These changes have been highlighted in red in the revised manuscript for ease of review. The author's response is in the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

Please find my comments in the attachment.

Comments for author File: Comments.pdf

Author Response

On behalf of my co-authors and myself, I would like to extend our sincerest gratitude for the opportunity to revise our manuscript. We deeply appreciate the insightful and constructive feedback provided by the reviewer on our manuscript titled “Ship Classification Based on AIS Data in Changhua Wind Farm Channel” (ID: electronics-2745211). We have meticulously reviewed all comments and have made comprehensive revisions accordingly. These changes have been highlighted in red in the revised manuscript for ease of review. The author's response is in the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

i am grateful for the opportunity to review your manuscript. i offer the following for your consideration:

- i invite you to consider removing the reference to a specific water channel (in this case, the Changhua Wind Farm Channel) in your title. in my opinion, doing so would potentially increase the readership of your paper, when it is eventually published.

- please expand the reference to the Ministry of Transportation and Communications, in the first paragraph of section 3 ('data preparation and analysis').

- likewise, please express 'nautical miles' in its expanded form (spell out the words); do note that the abbreviated form is in small letters without capitalisation ('nm' and not 'NM' (the latter approximates Newton-metres of torque)). this occurs in section 3.2.

Comments on the Quality of English Language

- in the fourth paragraph of your Introduction, please replace "on the contrary" with "in contrast". do check if this phrase is erroneously used elsewhere in your manuscript.

 

Author Response

On behalf of my co-authors and myself, I would like to extend our sincerest gratitude for the opportunity to revise our manuscript. We deeply appreciate the insightful and constructive feedback provided by the reviewer on our manuscript titled “Ship Classification Based on AIS Data in Changhua Wind Farm Channel” (ID: electronics-2745211). We have meticulously reviewed all comments and have made comprehensive revisions accordingly. These changes have been highlighted in red in the revised manuscript for ease of review. The author's response is in the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

The manuscript has been considerably improved. I recommend its publication in its current form.

Reviewer 2 Report

Comments and Suggestions for Authors

The authors have addressed all my comments.

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