most citedUncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network

15 citations · 15 across the 1 of their papers we have counts for

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1 paper

cs.CV2023★ 15 cited

Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network

Joyanta Jyoti Mondal, Md. Farhadul Islam, Raima Islam +5

The prevalence and mobility of smartphones make these a widely used tool for environmental health research. However, their potential for determining aggregated air quality index (A…