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Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO(2) (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain)
This study aims to produce accurate predictions of the NO(2) concentrations at a specific station of a monitoring network located in the Bay of Algeciras (Spain). Artificial neural networks (ANNs) and sequence-to-sequence long short-term memory networks (LSTMs) were used to create the forecasting mo...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7961900/ https://ncbi.nlm.nih.gov/pubmed/33806409 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21051770 |
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