Edge-IoT Driven Smart Air Quality Monitoring Using the Proposed EdgeAQ-Net Distributed Deep Learning Model
An Edge-IoT-based smart air quality monitoring system based on the proposed EdgeAQ-Net distributed deep learning architecture that combines edge computing and IoT-based environmental sensors to allow real-time analysis and prediction of air quality to be performed at the network edge.
Ying-Huan Shi
· Elaris Computing Nexus · 0 citations