Prediction of SO2 and PM10 air pollutants using a deep learning-based recurrent neural network: Case of industrial city Sakarya

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Long short-term memory (LSTM) recurrent neural network for low-flow hydrological time series forecasting

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A novel hybrid forecasting model for PM10 and SO2 daily concentrations

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