Open access
Jul 2026
Design, development, and evaluation of ML-IoT enabled environment quality monitoring system
The development of a Machine Learning Internet of Things enabled AQMS equipped with diverse sensors capable of sensing vital environmental parameters which include carbon monoxide, carbon dioxide, particulate matter PM2.5, PM10, temperature, and humidity is presented.
Tanzila, Sundus Ali, M. Aslam et al.
· Frontiers in Environmental S... · 0 citations