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By comparing estimates of fire-related PM 2.5 exposure from different fire emission inventories in this way, we can evaluate the effects of GEOS-Chem model performance on the results (Comparisons of fire-related PM 2.5 among three fire emissions and with previous studies)

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Sens Actuators 70:170176 Mondal B, Meetei M, Das J, Chaudhuri CR, Saha H (2015) Quantitative recognition of flammable and toxic gases with artificial neural network using metal oxide gas sensors in embedded platform