Peer Review History: Application of Machine Learning Techniques to Estimate Unsoaked California Bearing Ratio in Ekiti Central Senatorial District

Editor(s):

(1) Dr. Orlando Manuel da Costa Gomes, Lisbon Accounting and Business School (ISCAL), Lisbon Polytechnic Institute, Portugal.

Reviewers:

(1) Babak Safaei, Eastern Mediterranean University, Cyprus.

(2) K. Ravikanth, Rajiv Gandhi University of Knowledge Technologies, India.

Additional Reviewers:

 

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Specific Comment:

Average Peer review marks at initial stage: 6.5/10

Average Peer review marks at publication stage: 8.5/10

Peer Review History:


Stage 1 | Original Manuscript | File 1 | NA


Stage 2 | Peer review report_1 (Babak Safaei, Cyprus) | File 1 | NA


Stage 2 | Peer review report_2 (K. Ravikanth, India) | File 1 | NA


Stage 2 | Revised_MS_v1_and_Feedback_v1 | File 1 | File 2


Stage 3 | Comment_Editor_1_v1 | File 1 | NA