ARCHIVES

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Integration, 23, 100224.
2. Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M., & Kuusk, A. (2023). Artificial intelligence for industry 4.0:
Systematic review of applications, challenges, and opportunities. Expert Systems with Applications, 216, 119456.
3. Bharadiya, J. P. (2023). A comparative study of business intelligence and artificial intelligence with big data analytics. American
Journal of Artificial Intelligence, 7(1), 24.
4. Vijay, V. (2019). Survey on Role of Hadoop In Cloud Computing Environment. Journal of Emerging Technologies and Innovative
Research ISSN, 2349, 5162.
5. Vijay, V., & Nanda, R. (2021). Query caching technique over cloud-based MapReduce system: A survey. In Rising Threats in Expert
Applications and Solutions: Proceedings of FICR-TEAS 2020 (pp. 19-25). Springer Singapore.
6. Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264-75278.
7. Sharma V. (2021). An Investigative Impression of Database Clustering Exploration in Resolution of Vibrant Database High-Tech
Latitude, International Advanced Research Journal in Science, Engineering and Technology (IARJSET).
8. Srivastava, V., & Sharma, V. (2022). Sandbox Technology in a Web Security Environment: A Hybrid Exploration of Proposal and
Enactment. International Journal of Scientific Research and Engineering Development (IJSRED).
9. Sharma, V. (2010). Premeditated Crux Scaffold For Ahead Of Its Time Vision Of Mobile Robotics. Subodh Journal Of Recent Trends
In Relational Database Technology (Sjrtit), 2(02).
10. Sharma V. (2021). Probe Revealing Analysis on Securities Issues of Big Data and Relational Database Exploration in unpredictable
Universal Technological Scenario. Journal of Information and Computational Science, (JOICS)
11. Angelov, P. P., Soares, E. A., Jiang, R., Arnold, N. I., & Atkinson, P. M. (2021). Explainable artificial intelligence: an analytical
review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 11(5), e1424.