Zhou Yuan

Anomaly detection in Internet of Things‑based healthcare using an AUC-optimized proximal SVM with clustering-guided differential evolution for hyperparameter tuning

This work proposes an anomaly detection framework based on the imbalanced maximizing area under the curve proximal support vector machine (ImAUC-PSVM) model and the differential evolution (DE) algorithm for effective hyperparameter tuning.