A Bayesian Belief Network for Local Air Quality Forecasting

This study is focused on the development of a Bayesian network for air quality assessment and aims at offering a pragmatic and scientifically credible approach to modelling complex systems where substantial uncertainties exist. In particular, the main object is the prediction of the occurrence of su...

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Bibliographic Details
Main Authors: Tomaso Vairo, Mario Lecca, Elisabetta Trovatore, Andrea Reverberi, Bruno Fabiano
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2019-05-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/9811

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