Deep Learning–Based Real-Time Fault Detection in Networked Cyber-Physical Systems Using Embedded Edge Devices
The suggested method combines multi-modal sensor data fusion with lightweight neural models and an adaptive feedback mechanism, enabling efficient on-device inference in dynamic situations, supporting the claim that deep learning with edge computing can be significantly more responsive, flexible and energy-efficient fo...