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...
The proposed state transport routing (STR), a lightweight adapter that refines the predictions of a frozen forecasting model, demonstrates the potential of structured state adaptation to improve short-term forecasting across different neural architectures without retraining the underlying models or altering their longe...
Yu-Qing Xu, Li-Guo Zhou, Ze-Hua Sun et al.· 0 citations
This study develops a hierarchical ensemble that combines temporal neural models, historical analogs, state climatology, and gradient-boosted trees to support horizon-specific combination as a useful forecasting strategy while showing that its advantage over strong individual models depends on the dataset and evaluatio...
Yu-Qing Xu, Li-Guo Zhou, Ze-Hua Sun et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
