Transfer learning in environmental data-driven models: A study of ozone forecast in the Alpine region-Reference-Cited by-同舟云学术

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Transfer learning in environmental data-driven models: A study of ozone forecast in the Alpine region

Published:2024-06 Issue: Volume:177 Page:106048
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Sangiorgio Matteo^ORCID,Guariso Giorgio

Publisher

Elsevier BV

Reference72 articles.

1. Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks;Abdul-Wahab;Environ. Model. Softw.,2002

2. Regression and multilayer perceptron-based models to forecast hourly O3 and NO2 levels in the Bilbao area;Agirre-Basurko;Environ. Model. Softw.,2006

3. An ensemble of intelligent water drop algorithm for feature selection optimization problem;Alijla;Appl. Soft Comput.,2018

4. Graph machine learning for improved imputation of missing tropospheric ozone data;Betancourt;Environ. Sci. Technol.,2023

5. Analysis of surface ozone using a recurrent neural network;Biancofiore;Sci. Total Environ.,2015

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