Data Management of Microscale Reaction Calorimeter Using a Modular Open-Source IoT-Platform
, Constantin Weber 1, Tobias Brockhoff 1, Tassilo Christ 2,*, Denis Ludwig 2 and Norbert Kockmann 1,*Round 1
Reviewer 1 Report
Overall, this is a good paper. The technological advance to me is quite nice. But on the other hand, the paper requires minor adjustments on the following comments:
1. What is the benefit of modular Open Source IoT in this process automation?
2. The impact of using IOT open source should be explained clearly at the end of the introduction.
3. Following new references should be added to the paper where similar methodologies are applied and by studying and adding these will improve the quality of this paper:
1. S. Khan, V. Saravanan, T. J. Lakshmi, N. Deb, and N. A. Othman, "Privacy Protection of Healthcare Data over Social Networks Using Machine Learning Algorithms," Computational Intelligence and Neuroscience, vol. 2022, no. Article ID 9985933, p. 8 pages, 2022.
2. A. U. Haq, J. P. Li, S. Ahmad, S. Khan, M. A. Alshara, and R. M. Alotaibi, "Diagnostic approach for accurate diagnosis of COVID-19 employing deep learning and transfer learning techniques through chest X-ray images clinical data in E-healthcare," Sensors, vol. 21, no. 24, p. 8219, 2021.
3. S. Ahmad et al., "Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things," Computers, Materials Continua, vol. 73, no. 01, pp. 965-979, 2022.
4. A. U. Haq et al., "DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems," IEEE Journal of Biomedical and Health Informatics, pp. 1-12, 2022.
Author Response
Please see the attachment.
Author Response File: 
Author Response.docx
Reviewer 2 Report
I have the following suggestions to improve the article
1. Abstract should be categorized into the background of study, methodology, results, conclusion
2. the latest literature review concerning IOT should be included in the study with proper references. Why this technique is used. It should be linked with the literature. What are the other methods used?
3. The study should make a comparison with the previous methods. by which method your methodology was better?
4. The variables used in the study should be explained in a separate section.
5. conclusion section is short. it should be expanded with arguments from the previous literature.
6. The study lacks limitations of the study.
Address the above-mentioned points and incorporate the grammatical and sentence structure mistakes to increase the readability of the study.
Author Response
Please see the attachment.
Author Response File: Author Response.docx
