Adaptive Transfer Learning Based Anomaly Detection for Industrial IoT System
The proposed framework provides an adaptive and scalable approach for real-time anomaly detection in Industrial IoT predictive maintenance systems and is intended to support cloudassisted deployment for large-scale Industrial IoT environments in future work.