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Article
Peer-Review Record

xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning

Sensors 2022, 22(21), 8474; https://doi.org/10.3390/s22218474
by Johannes Link *, Leo Schwinn, Falk Pulsmeyer, Thomas Kautz and Bjoern M. Eskofier
Reviewer 1: Anonymous
Sensors 2022, 22(21), 8474; https://doi.org/10.3390/s22218474
Submission received: 23 September 2022 / Revised: 26 October 2022 / Accepted: 26 October 2022 / Published: 3 November 2022
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Germany 2022)

Round 1

Reviewer 1 Report

- The statement on line 43 need reference or explanation. 

- Line 108 need not to be on a separate paragraph.

- Although the metrics in section 2.4 are well-known, it is better to include their mathematical definition. 

- The bland-altman plot will be a good representation of the quality of the results.

- The tables are not according to the journal's template

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The study is good and there are some points that must be addressed as follows.

1. Separate relevant previous studies into a new section.

2. Indicate the most important main contributions in this study.

3. Adding a figure to clearly explain the study methodology.

 

4. Compare your results with relevant studies.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

More research papers may be included in the reference section.

 

Also, comparative study of work has to be made with recent articles in a proper way.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

 Accept in present form

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