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Issue Vol. 3 No. 1 (2026): Volume 03 Issue 1 --- Section Articles
Version 1
Abstract
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Keywords
References
1. Sharma, R., & Patel, D. (2021). Artificial intelligence in modern healthcare systems: Opportunities and challenges. International Journal of Medical Informatics, 145, 104289. https://doi.org/10.1016/j.ijmedinf.2020.104289
2. Kumar, A., Singh, P., & Verma, S. (2020). Cloud computing adoption in small and medium enterprises. Journal of Enterprise Information Management, 33(6), 1205–1223. https://doi.org/10.1108/JEIM-05-2019-0134
3. Johnson, M., & Williams, T. (2019). Big data analytics and business performance: A review. Business Analytics Review, 7(2), 45–58.
4. Chen, L., Zhao, Y., & Li, H. (2022). Blockchain technology for secure data sharing in supply chains. Computers & Industrial Engineering, 168, 108104. https://doi.org/10.1016/j.cie.2022.108104
5. Ahmed, S., Khan, R., & Hussain, M. (2018). Cybersecurity threats in digital transformation era. Journal of Cybersecurity Research, 4(1), 1–12.
6. Brown, J., & Davis, K. (2017). Machine learning applications in financial risk management. Journal of Financial Technology, 5(3), 210–225.
7. Gupta, N., & Mehta, P. (2023). Internet of Things (IoT) for smart city development: A comprehensive review. Smart Cities Journal, 6(1), 22–39.
8. Lee, S., Park, J., & Kim, H. (2021). Deep learning techniques for image recognition: A survey. IEEE Access, 9, 123456–123478. https://doi.org/10.1109/ACCESS.2021.3051234
9. Martin, G., & Lopez, R. (2020). Digital transformation strategies in higher education. Education and Information Technologies, 25(4), 3451–3468.
10. Singh, V., & Sharma, K. (2019). Role of data mining in customer relationship management. International Journal of Data Science, 3(2), 89–101.
11. White, P., & Green, S. (2018). Ethical implications of artificial intelligence in decision making. AI & Society, 33(4), 589–601.
12. Zhang, W., Liu, Q., & Wang, X. (2022). Edge computing for real-time analytics: A review. Future Generation Computer Systems, 128, 137–150.
