Integrating MLOps for Monitoring, Drift Detection, and Adaptive Retraining in Sensor Systems
This study presents an integrated MLOps framework that combines performance monitoring, distribution-based drift detection, and adaptive retraining within a unified production pipeline and demonstrates that integrating MLOps practices into sensor-based machine learning systems is essential for improving robustness and...