Toward Reliability-Aware Hybrid Anomaly Decision Systems: A Multimodal Prediction–Detection Framework for Cyber–Physical Environments
Reliable anomaly decisions require both discriminative evidence and a defensible rule for reallocating trust when branch quality changes. This paper presents a Reliability-Aware Hybrid Anomaly Decision (RAHAD) layer that calibrates heterogeneous branch scores and adjusts their contributions without retraining the upstr...