Crack Moldflow Insight 2008 Free Download
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10.1371/journal.pone.0237034.r003
Decision Letter 1
Pokorny
Jiri
Academic Editor
© 2020 Jiri Pokorny
2020
Jiri Pokorny
This is an open access article distributed under the terms of the
Creative Commons Attribution License
, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
17 Jul 2020
PONE-D-20-01218R1
A Deep Learning-based technique for structural defect detection in injection and compression molding parts
PLOS ONE
Dear Dr. Fábián,
Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE's publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.
Please address the raised concerns of the reviewers and respond to their comments. 
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