Title:
Ensemble models for predicting co concentrations: application and explainability in environmental monitoring in campania, italy
Authors:
- Lelio Campanile
- Luigi Piero Di Bonito
- Francesco Di Natale
- Mauro Iacono
Published in:
(2024). ECMS 2024, 38th Proceedings
Edited by: Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2024
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-84-5
ISBN: 978-3-937436-83-8 (CD) Communications of the ECMS Volume 38, Issue 1, June 2024, Cracow, Poland June 4th – June 7th, 2024
DOI:
https://doi.org/10.7148/2024-0558
Citation format:
Lelio campanile, Luigi piero di bonito, Francesco di natale, Mauro iacono (2024). Ensemble Models for Predicting CO Concentrations: Application and Explainability in Environmental Monitoring in Campania, Italy, ECMS 2024, Proceedings Edited by: Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev, European Council for Modelling and Simulation. doi:10.7148/2024-0558
Abstract:
Monitoring of non-linear phenomena, such as pollution
dynamics, which is the result of several combined
factors and the evolution of environmental conditions,
greatly benefits by AI tools; a larger benefit derives
by the application of explainable solutions, which are
capable of providing elements to understand those dynamics
for better informed decisions. In this paper
we discuss a case with real data in which a posteriori
explanations have been produced after the application
of ensemble models.
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