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Experimental Evaluation of Deep Learning Enabled IoT Technology for Industrial Machinery Fault Detection and Performance Improvement
Industrial machinery fault detection is a cornerstone of predictive maintenance, directly influencing operational reliability, safety, and production efficiency. Conventional rule-based and machine learning approaches often struggle to handle non-stationary sensor signals, cross-machine variability, and early-stage fau...
A Federated Deep Reinforcement Learning Framework for Real-Time Demand Response Optimization in IIoT-based Smart Home Automation
The residential market has seen the rapid take-up of Internet of Things (IoT) devices, connected IIoT smart systems due to it. This situation gives rise to new issues and challenges for the energy management implemented in real time. The traditional centralized energy management mechanisms face great challenges like ex...