Sep 2026
Implementing machine learning model drift detection in fog computing architectures for remote healthcare systems
The Real-time Drift Detection Method (RTDDM) detects drift by integrating supervised and unsupervised learning: the authors simultaneously train a classifier and fit a clustering model on the same dataset, thereby linking classifier accuracy to cluster purity.
Salman Ahmed, Nayyer Masood
· Cluster Computing · 0 citations