A Closed-Loop Statistical Drift Detection and Autonomous Retraining Framework for Production Machine Learning Systems

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{193523,
        author = {Nithish R and Soonu Aravindan J},
        title = {A Closed-Loop Statistical Drift Detection and Autonomous Retraining Framework for Production Machine Learning Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {646-651},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193523},
        abstract = {},
        keywords = {autonomous retraining, candidate promotion, closed-loop systems, data drift detection, model monitoring, normalized mean shift, production machine learning},
        month = {March},
        }

Cite This Article

R, N., & J, S. A. (2026). A Closed-Loop Statistical Drift Detection and Autonomous Retraining Framework for Production Machine Learning Systems. International Journal of Innovative Research in Technology (IJIRT), 12(10), 646–651.

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