has been cited by the following article(s):
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[1]
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Long- and short-term time series forecasting of air quality by a multi-scale framework
Environmental Pollution,
2021
DOI:10.1016/j.envpol.2020.116381
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[2]
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India’s Maiden air quality forecasting framework for megacities of divergent environments: The SAFAR-project
Environmental Modelling & Software,
2021
DOI:10.1016/j.envsoft.2021.105204
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[3]
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India’s Maiden air quality forecasting framework for megacities of divergent environments: The SAFAR-project
Environmental Modelling & Software,
2021
DOI:10.1016/j.envsoft.2021.105204
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[4]
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Air Quality Prediction Based on Neural Network Model of Long Short-term Memory
IOP Conference Series: Earth and Environmental Science,
2020
DOI:10.1088/1755-1315/508/1/012013
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[5]
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Hybrid model of Air Quality Prediction Using K-Means Clustering and Deep Neural Network
2019 Chinese Control Conference (CCC),
2019
DOI:10.23919/ChiCC.2019.8865861
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[6]
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Time Series Forecasting of Air Quality Based On Regional Numerical Modeling in Hong Kong
Journal of Geophysical Research: Atmospheres,
2018
DOI:10.1002/2017JD028052
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[7]
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Time Series Forecasting of Air Quality Based On Regional Numerical Modeling in Hong Kong
Journal of Geophysical Research: Atmospheres,
2018
DOI:10.1002/2017JD028052
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[8]
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Using a Coupled Air Quality Modeling System for the Development of an Air Quality Plan in Madrid (Spain): Source Apportionment and Analysis Evaluation of Mitigation Measures
Journal of Geoscience and Environment Protection,
2016
DOI:10.4236/gep.2016.43005
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[9]
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Defining a Standard Methodology to Obtain Optimum WRF Configuration for Operational Forecast: Application over the Port of Huelva (Southern Spain)
Atmospheric and Climate Sciences,
2016
DOI:10.4236/acs.2016.62028
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