Real-Time AI and Deep Learning–Driven Data Analytics for Networked Cyber-Physical Systems Using Edge Sensor Hardware
A layered edge-intelligence system that combines temporal convolutional networks with lightweight transformer encoders to deliver real-time anomaly detection and predictive control on edge sensor hardware is introduced to enable latency-constrained deep analytics in safety-critical cyber-physical systems.