/Data-Fusion-Methods-For-Air-Quality-Measurements

This project proposed a data fusion method to integrate Low cost sensors observations with EPA observations for particular matter PM2.5. Correcting the bias in the low cost sensors and take advantage of its widely dispersion helps to improve prediction of ambient exposure at point level.

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