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Article
Peer-Review Record

Crack Detection and Classification in Moroccan Pavement Using Convolutional Neural Network

Infrastructures 2022, 7(11), 152; https://doi.org/10.3390/infrastructures7110152
by Wafae Hammouch 1,*, Chaymae Chouiekh 2, Ghizlane Khaissidi 1 and Mostafa Mrabti 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3:
Infrastructures 2022, 7(11), 152; https://doi.org/10.3390/infrastructures7110152
Submission received: 5 October 2022 / Revised: 26 October 2022 / Accepted: 8 November 2022 / Published: 10 November 2022
(This article belongs to the Special Issue Land Transport, Vehicle and Railway Engineering)

Round 1

Reviewer 1 Report

1 . please using English instead other language,such as Faiençage.

2. please cite the paper "Ensemble of deep convolutional neural networks for automatic pavement crack detection and measurement".

3. please present the experimental figures for comparison method. 

4. please add the comparison algorithms. there is only cnn and vgg19.

5. Table 6  should add Pr, Re. meanwhile, the numbers are 93.19% and 90.76%, not 93,19% and 90,76%. please modify.

Author Response

Thank you for your comments.We have revised our manuscript according to your comments, and suggestions.

1-We have changed Faiençage to Alligator crack.

2-We think this is an excellent suggestion.We have cite "Ensemble of deep convolutional neural networks for automatic pavement crack detection and measurement".Please see reference 30.

3-We have modified the figure 2.

4-We compared the performance of the method with the literature in section 3.

5-We have made the change. Please see table 6.

 

Reviewer 2 Report

Dear Authors, thank you for your manuscript. Your intro should be improved, there should be certain order and sequence of your thoughts. It is hectic now. Please clear the structure, introduce goal and objectives, underline novelty, make a short summary on what is paper about at the last paragraph. Bring more case studies examples on your work from field for the comparison. Highlight innovation in your discussion part and conclusions. 

Author Response

Thank you for your comments.We have revised our manuscript according to your comments, and suggestions.

We have revised our introduction and conclusion.Please see the last version of the manuscript.

 

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Reviewer 3 Report

The technical knowledge is excellent, however, the manuscript is intended to be more of a technical report and application than research work. I recommend that the authors develop a convincing case about their specific addition to knowledge rather than just using a new method or procedure for measuring cracks in the pavement.

Author Response

Thank you for your comments. We have revised all the manuscript according to your comments, and suggestions. Please see the last version .

 

Round 2

Reviewer 1 Report

accept

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