A Deep Learning Approach for Predicting Air Pollutants on the Construction Site
Author:
Affiliation:
1. Management HSQE Field & Safety Operations Italferr S.p.A,Firenze,Italy
2. University “G. d’Annunzio” Chieti-Pescara,Department InGeo,Pescara,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10569139/10569147/10569266.pdf?arnumber=10569266
Reference10 articles.
1. The characteristics of PM emissions from construction sites during the earthwork and foundation stages: an empirical study evidence
2. Sources of PM2.5‐Associated Health Risks in Europe and Corresponding Emission‐Induced Changes During 2005–2015
3. REPORT on the implementation of the Ambient Air Quality Directives: Directive 2004/107/EC and Directive 2008/50/EC;López,2021
4. Interpolation in Time Series: An Introductive Overview of Existing Methods, Their Performance Criteria and Uncertainty Assessment
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