Extremely efficient PM2.5 estimator based on analysis of saliency and statistics
Author:
Affiliation:
1. Faculty of Information TechnologyBeijing University of TechnologyBeijing100124People's Republic of China
2. Key Laboratory of Underwater Acoustic Communication and Marine Information TechnologyXiamen UniversityXiamenPeople's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2018.5613
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