Enhancing air pollution prediction: A neural transfer learning approach across different air pollutants

Author:

Jairi IdrissORCID,Ben-Othman SarahORCID,Canivet LudivineORCID,Zgaya-Biau HayfaORCID

Publisher

Elsevier BV

Reference35 articles.

1. Abdel-Rahman, A.A., 2008. On the atmospheric dispersion and Gaussian plume model. In: Proceedings of the 2nd International Conference on Waste Management, Water Pollution, Air Pollution, Indoor Climate. Greece.

2. Akiba, T., Sano, S., Yanase, T., Ohta, T., Koyama, M., 2019. Optuna: A next-generation hyperparameter optimization framework. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 2623–2631.

3. Models-3 community multiscale air quality (CMAQ) model aerosol component 1. Model description;Binkowski;J. Geophys. Res. Atmospheres,2003

4. A machine learning approach to predict air quality in california;Castelli;Complexity,2020

5. Air quality forecasting using a hybrid autoregressive and nonlinear model;Chelani;Atmos. Environ.,2006

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