Quantifying PM2.5 Concentrations From Multi Weather Sensors Using Hidden Markov Models
This letter presents a novel approach to quantify the ambient concentrations of fine particulate matter (PM2.5) from multi weather sensors based on hidden Markov models oriented statistical methodology. Compared with one current state of the art, the proposed methodology produces a better result, showing potential applications in the existing network of the multi weather sensors for the PM complementary measurements.
IEEE Sensors Journal