ARCHIVES

1. Cheng, Y., Huang, X.-F., Peng, Y., Tang, M.-X., Zhu, B., Xia, S.-Y., & He, L.-Y. (2023). A novel machine learning method for evaluating the
impact of emission sources on ozone formation. Environmental Pollution, 316, 120685. https://doi.org/10.1016/j.envpol.2022.120685
2. Dao, F.-Y., Liu, M.-L., Su, W., Lv, H., Zhang, Z.-Y., Lin, H., & Liu, L. (2023). AcrPred: A hybrid optimization with enumerated machine
learning algorithm to predict Anti-CRISPR proteins. International Journal of Biological Macromolecules, 228, 706–714.
https://doi.org/10.1016/j.ijbiomac.2022.12.250
3. Hissou, H., Benkirane, S., Guezzaz, A., Azrour, M., & Beni-Hssane, A. (2023). A Novel Machine Learning Approach for Solar Radiation
Estimation. Sustainability, 15(13), 10609. https://doi.org/10.3390/su151310609
4. Khan, A., Qureshi, M., Daniyal, M., & Tawiah, K. (2023). A Novel Study on Machine Learning Algorithm-Based Cardiovascular Disease
Prediction. Health & Social Care in the Community, 2023, 1–10. https://doi.org/10.1155/2023/1406060
5. Méndez, M., Merayo, M. G., & Núñez, M. (2023). Machine learning algorithms to forecast air quality: a survey. Artificial Intelligence
Review, 56(9), 10031–10066. https://doi.org/10.1007/s10462-023-10424-4
6. Peng, Y., & Unluer, C. (2023). Modeling the mechanical properties of recycled aggregate concrete using hybrid machine learning
algorithms. Resources, Conservation and Recycling, 190, 106812. https://doi.org/10.1016/j.resconrec.2022.106812
7. Sharma, Vaibhav, Vandana Nigam, and Arvind K. Sharma. "Cognitive analysis of deploying web applications on Microsoft windows azure
and amazon web services in global scenario." Materials Today: Proceedings. Vol. 11. 2020.
8. Sharma, V., V. Nigam, and S. Vaibhav. "strategic analysis on big data in Indian technological scenario." International Journal of Research in
Computer Application & Management”, ISSN 2231–1009/14-17, Volume No. 8, Issue No 10 (2018).
9. Sharma. Vaibhav and Vandana Shrivastava. "An Enactment Assortment of Advanced Distributed Ledger SWOT exploration in Global
Technological Scenario.", Journal of Data and Computational Science (JOICS)”, ISSN: 1545–7741/33-41–Volume–11, Issue 4 (2021).
10. Sharma. V., “An Investigative Impression of Database Clustering Exploration in Resolution of Vibrant Database High-Tech Latitude”,
International Advanced Research Journal in Science, Engineering andTechnology,vol. 3, pp. 338-344, (2021).
11. Sharma. V. and Shrivastava V., “Cognitive Analysis of Deploying WebApplications on Microsoft Windows Azure and Amazon Web Services
inGlobal Scenario” in Elsevier – Materials Today: Proceedings, 2019.