An integrated approach of Belief Rule Base and Convolutional Neural Network to monitor air quality in Shanghai

• Published in: Expert systems with applications Vol. 206; p. 117905
• Main Authors: Kabir, Sami, Islam, Raihan Ul, Hossain, Mohammad Shahadat, Andersson, Karl
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.11.2022
• Subjects: Air quality monitoring; Belief Rule Based Expert System (BRBES); Convolutional Neural Network (CNN); Distribuerade datorsystem; Pervasive Mobile Computing; Uncertainty; Uncertainty; Air quality monitoring; Belief Rule Based Expert System (BRBES); Convolutional Neural Network (CNN)

•We monitor air quality from satellite images to address spatial coverage limitation.•We customize Convolutional Neural Network (CNN) to analyze satellite images.•We propose mathematical model to integrate CNN with Belief Rule Based Expert System.•We check Relative Humidity to distinguish hazy image...