has been cited by the following article(s):
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An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability
Information Fusion,
2021
DOI:10.1016/j.inffus.2021.03.010
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[2]
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An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability
Information Fusion,
2021
DOI:10.1016/j.inffus.2021.03.010
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A Novel LSTM for Multivariate Time Series with Massive Missingness
Sensors,
2020
DOI:10.3390/s20102832
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Application of Neural Networks to Short Time Series Composite Indexes: Evidence from the Nonlinear Autoregressive with Exogenous Inputs (NARX) Model
Journal of Quantitative Economics,
2018
DOI:10.1007/s40953-018-0133-8
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Energy Associated Tuning Method for Short-Term Series Forecasting by Complete and Incomplete Datasets
Journal of Artificial Intelligence and Soft Computing Research,
2017
DOI:10.1515/jaiscr-2017-0001
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Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series
2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI),
2016
DOI:10.1109/LA-CCI.2016.7885702
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