Next Article in Journal
Au Nanoparticle-Loaded UiO-66 Metal–Organic Framework for Efficient Photocatalytic N2 Fixation
Next Article in Special Issue
APSO-SL: An Adaptive Particle Swarm Optimization with State-Based Learning Strategy
Previous Article in Journal
Artificial Intelligence for Hybrid Modeling in Fluid Catalytic Cracking (FCC)
Previous Article in Special Issue
From Segmentation to Classification: A Deep Learning Scheme for Sintered Surface Images Processing
 
 
Article
Peer-Review Record

An Approach to Data Modeling via Temporal and Spatial Alignment

Processes 2024, 12(1), 62; https://doi.org/10.3390/pr12010062
by Dapeng Zhang *, Kaixuan Sun and Shumei Zhang
Reviewer 1:
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Processes 2024, 12(1), 62; https://doi.org/10.3390/pr12010062
Submission received: 1 December 2023 / Revised: 22 December 2023 / Accepted: 25 December 2023 / Published: 27 December 2023

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Hi

After studying the paper, I found the following observations:

1. What is the purpose of this paper?

2. In summary, what does the abbreviation TE mean?

3. Equations 2, 3, and 5 are multiple equations in one equation. You must renumber the equations or use an incubator.

4. On line 249, there is an equation without punctuation.

5. Figure 4 needs a detailed explanation. target of?

6. Figure 1 must be redrawn, as it is not clear.

7. Figures 8 and 9 are not clear. I do not think these forms are specific to the work completed.

8. The conclusion needs to be rewritten, as the results obtained must be focused on and written in the form of points.

9. It is necessary to end the conclusion with future work as a continuation of the completed work.

10.It is necessary to make a comparison with existing scientific works on the same topic.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

In this manuscript, the authors proposed a multivariate data alignment method to follow the different time scales and different role effects. The paper is well-written. However, following points need to be addressed.

1. Mention abbreviation of TE in the abstract section.

2. Literature review section of the paper is very weak. Please include some recent research articles on the topic addressed and present a brief analysis of each article considering the advantages and disadvantages of the adopted methodologies.

3. The authors need to clearly present the research gap considering the recent literature on the topic.

4. Please clearly state the novelty and contributions of the proposed work.

5. The authors must include better quality figures in the manuscript.

6. In figure 9, legends and title of the axes should be in English language.

7. The authors must update the conclusion section by briefly discussing the results of their proposed methodology.

8. There are few sentence-structure making and punctuation mistakes in the manuscript. Please carefully proofread the manuscript. 

Comments on the Quality of English Language

The quality of English language used is fine. Just minor editing is required.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

Reviewer found that the authors have done an interesting study. There are a few comments below.

1. Line 93: What specific communication protocols can use the Hankel matrix to process time series data? What data processing algorithms can be effectively applied to this model?

2. Line 193: Can you provide a more detailed description of how each of the logical control units in the LSTM (input threshold, output threshold and forgetting threshold) affects the process of managing the information flow and the state of the cell? What specific weights are set on the connecting edges of memory cells and controlled by other parts of the neural network?

3. Line 200: What exactly does formula (5) describe? Which parts of the neural network?
4. Line 303: It is necessary to add captions to the graph and legend axes in Fig. 8.
5. Line 309: The captions on the graph (Fig. 9) must be in English.

6. Conclusions lack of limitation, significance, and potential development of this method.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

Thank you for reviewing the paper. After studying the modified version, I found the following notes:

1.On line 131, what does the abbreviation DTW mean?

2. In the introduction, the Tennessee Eastman (TE) mode was never mentioned or talked about? Why?

3. On line 314, add the word equation before (14).

4. It is better to write an equation instead of a formula.

5.In line 340, what does LSTM mean?

6. Figures must be mentioned in the text before placing the shapes (Figures 4 to 7).

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

1. There are several typos and punctuation errors in the manuscript. Therefore, careful proofreading of the paper is required.

2. The authors must use same font in the figure. For example, in figure 1, font of "Matrix Modification Module" is different than rest of the figure.

3. Authors must use word "equation" instead of "formula" throughout the manuscript.

 

Comments on the Quality of English Language

There are several mistakes in the manuscript. Therefore, moderate editing of English language is required.

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Back to TopTop