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Forecasting PM10 levels using ANN and MLR: A case study for Sakarya City
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Investigation of Performance of Tropospheric Ozone Estimations in The Industrial Region Using Differential Artificial Neural Networks Methods
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Neural network estimation of the scour cone geometry around outlet in the pressure flushing
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Artificial neural networks predictive models. A case study: carbon and bromine concentrations prediction based on chlorination time
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Farmaki E.G., Samios S.A., Thomaidis N.S., Golfinopoulos S., Efstathiou C.E. and Lekkas T.D.