HIGHLIGHTS
- who: Federica Rollo et al. from the Department, University of Modena and Reggio Emilia, Modena, Italy have published the article: Anomaly Detection and Repairing for Improving Air Quality Monitoring, in the Journal: Sensors 2023, 23, 640. of 30/Dec/2022
- what: The authors propose AIrSense a novel AI-based framework for obtaining reliable pollutant concentrations from raw data collected by a network of low-cost It enacts an anomaly detection and repairing procedure on raw measurements before applying the calibration model which converts raw measurements to concentration measurements of gasses.
- how: In the . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.