most citedAdvancing Air Quality Monitoring: TinyML-Based Real-Time Ozone Prediction with Cost-Effective Edge Devices

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

eess.SP2025★ 6 cited

Advancing Air Quality Monitoring: TinyML-Based Real-Time Ozone Prediction with Cost-Effective Edge Devices

Huam Ming Ken, Mehran Behjati

The escalation of urban air pollution necessitates innovative solutions for real-time air quality monitoring and prediction. This paper introduces a novel TinyML-based system desig…