Peer Review History: Anomaly Detection for Industrial Time Series Data Based on Correlation Analysis and CNN-BiLSTM with Self-attention

Editor(s):

(1) Prof. Qiankun Song, Chongqing Jiaotong University, China.

(2) Dr. Dariusz Jacek Jakobczak, Technical University of Koszalin, Poland.

Reviewers:

(1) Rahul Jain, Ganpat University, India.

(2) Khaldoon H. Alhussayni, University of Babylon, Iraq.

Additional Reviewers:

Additional Reviewers: (Comments received after deadline)

Open Peer Review Policy: Click Here

Specific Comment:

Average Peer review marks at initial stage: 7.8/10

Average Peer review marks at publication stage: 9/10

Peer Review History:

Stage 1 | Original Manuscript | File 1 | NA

Stage 2 | Peer Review Report_1 (Rahul Jain, India) | File 1 | NA

Stage 2 | Peer Review Report_2 (Khaldoon H. Alhussayni, Iraq) | File 1 | NA

Stage 2 | Revised_MS_v1_and_Feedback_v1 | File 1 | File 2

Stage 3 | Comment_Editor_1_v1 | File 1 | NA

Stage 3 | Comment_Editor_2_v1 | File 1 | NA