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Smart city article details

Title	A Calibration Methodology Of Low-Cost Air Pollutant Sensor Calibration Using Neural Networks
ID_Doc	565
Authors	Souani A.; Hucher A.; Vigneron V.; Maaref H.
Year	2023
Published	2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023
DOI	http://dx.doi.org/10.1109/SSD58187.2023.10411311
Abstract	Air quality Low cost sensors (LCSs) are cheap and can map extensive areas. They alert people about pollution spikes in smart city buildings (schools, universities, hospitals...) or industrial areas. Before using them for a specified task, they must be calibrated to give accurate readings, i.e. they must be aligned with a measure based on a reference machine. Unfortunately, classic calibration is limited by interferences with other pollutants or can be affected by atmosphere constants in the case of uncontrolled environments. This paper proposes a calibration solution based on artificial neural networks (ANN). © 2023 IEEE.
Author Keywords	air pollutant; Calibration; LCS; neural networks; regression; SVR

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