Predicting ground-level nitrogen dioxide concentrations using the BaYesian attention-based deep neural network

Predicting ground-level nitrogen dioxide concentrations using the BaYesian attention-based deep neural network

Nitrogen dioxide pollution is an ongoing and growing environmental issue that affects human health in developed Western countries. This study introduced a Bayesian attention-based deep neural network model for predicting ground-level nitrogen dioxide concentrations. The proposed model integrates the...

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Bibliographic Details
Main Authors: Angelo Casolaro, Vincenzo Capone, Francesco Camastra
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Ecological Informatics
Subjects:
Ground-level NO2 concentration
Attention-based model
Time series prediction
Uncertainty prediction estimation
European environmental agency
Bayesian neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125001062
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http://www.sciencedirect.com/science/article/pii/S1574954125001062

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