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Article
Peer-Review Record

Link-Aware Frame Selection for Efficient License Plate Recognition in Dynamic Edge Networks

Electronics 2022, 11(19), 3186; https://doi.org/10.3390/electronics11193186
by Jiaxin Liu 1, Rong Cong 2,*, Xiong Wang 2 and Yaxin Zhou 3
Reviewer 1: Anonymous
Reviewer 2:
Electronics 2022, 11(19), 3186; https://doi.org/10.3390/electronics11193186
Submission received: 5 September 2022 / Revised: 18 September 2022 / Accepted: 27 September 2022 / Published: 4 October 2022
(This article belongs to the Special Issue Edge Computing for Urban Internet of Things)

Round 1

Reviewer 1 Report

The idea is interesting but the following issues should be considered.

1. The title doesn't reflect the main contribution of the paper. what is the real meaning of "Dynamic Edge Networks" and why this issue is targeted in the title? the main contribution of the paper relies on reducing the energy and also delay of detection!

2. section 1 is well organized but it needs proofreading. from an IoT perspective, the paper needs more information to be self-contained.

3. the proposed method can be used in other distributed systems and the author should add some details about Edge computation to fit the content of the paper to the scope.

4. Since the core problem of this paper is well-known, a more relevant paper might be used in the literature review part.

5. the literature review section doesn't consider edge computation! add a paragraph at the end of section 2 and justify the position of the proposed method among others considering keywords such as edge computations and IoT.

6. the proposed algorithm is described well. this part can be reinforced by adding the flowchart of codes.

7. the main challenge of this paper is to describe how the proposed method can be used in edge networks. this issue needs more elaboration. without this elaboration, the contribution may be seen as weak by authorship.

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Dear Authors, 

Please find the following comments:

 1.     Please add a small description to the related work section.

2.     Please add citations for Yolov3, Retinaface, and Darknet deep learning models.

3.     Please add references for LPR-net and define them.

Best Regards 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

authors answered most of my comments. therefore I think the paper is ready for publishing. my last note is that "Dynamic Edge Networks" is not usual in this scope and the author may search it on google. overall, the paper is acceptable.

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