Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network
Abstract 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 (AQI) based on PM2.5 concentration in specific locations remains largely unexplored in the existing literature.In this paper, we thoroughly examine the challenges a