“Proactive Data Pipeline Maintenance via Machine Learning-Driven Anomaly Detection”, Int J Sci Res Sci & Technol, vol. 12, no. 2, pp. 1041–1053, Apr. 2025, doi: 10.32628/IJSRST251222663.