Abstract
Aim of this study is to develop a calibration procedure through Machine Learning to upgrade the low-cost air quality sensor performance and investigate the generalization of this function over a specific area towards air quality data fusion.
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APA
Kassandros, T., Bagkis, E., & Karatzas, K. (2022). Data Fusion for the Improvement of Low-Cost Air Quality Sensors. In Springer Proceedings in Complexity (pp. 175–180). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-031-12786-1_24
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