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Peer-Review Record

Development of an Ensembled Meta-Deep Learning Model for Semantic Road-Scene Segmentation in an Unstructured Environment

Appl. Sci. 2022, 12(23), 12214; https://doi.org/10.3390/app122312214
by Sangavi Sivanandham and Dharani Bai Gunaseelan *
Reviewer 1: Anonymous
Reviewer 2:
Appl. Sci. 2022, 12(23), 12214; https://doi.org/10.3390/app122312214
Submission received: 15 October 2022 / Revised: 19 November 2022 / Accepted: 21 November 2022 / Published: 29 November 2022
(This article belongs to the Section Computing and Artificial Intelligence)

Round 1

Reviewer 1 Report

*** Please see the attachment. ***

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.docx

Reviewer 2 Report

1. The model evaluation in this paper can be more complete. The addition of evaluation indicators and comparative analysis can effectively reflect the differences between methods. This can also demonstrate the reliability of a method

2. The conclusion is only a superficial description of this paper. The summary should focus on the main contributions and limitations of the paper.

3. The advanced methods in this field need to be further supplemented and enriched. And the innovations of this paper need further refinement.

Author Response

Please see the attachment

Author Response File: Author Response.docx

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