Forecasts of tropospheric ozone in the Metropolitan Area of Rio de Janeiro based on missing data imputation and multivariate calibration techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-021-09333-2.pdf
Reference59 articles.
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2. Arroyo, Á., Herrero, Á., Tricio, V., Corchado, E., & Woźniak, M. (2018). Neural models for imputation of missing ozone data in air-quality datasets. Complexity, 2018. https://doi.org/10.1155/2018/7238015
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