most citedCalibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative Machine Learning approaches

120 citations · 120 across the 2 of their papers we have counts for

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eess.SP2020

Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices

Saverio De Vito, Girolamo Di Francia, Elena Esposito +3

Air Quality Multi-sensors Systems (AQMS) are IoT devices based on low cost chemical microsensors array that recently have showed capable to provide relatively accurate air pollutan…