Ensemble Network-State Forecasting for Remote Fault Diagnosis Using Transformer and Ridge Regression
Remote fault-diagnosis services in dynamic edge–cloud environments depend on timely monitoring-data upload, remote inference, and result delivery, making their communication layer sensitive to variations in available bandwidth, link latency, and packet loss rate. This study addresses the network-state forecasting layer...