Neural network estimation of the scour cone geometry around outlet in the pressure flushing
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Emamgholizadeh S.
Sensitivity analysis of different evapotranspiration methods using a new sensitivity coefficient
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Ambas V.Th. and Baltas E.
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.
Temporal variability of disinfection by-products concentration in urban public water system
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Siddique A., Saied S., Zaigham N.A., Mumtaz M., Ali Mahar G. and Mohiuddin S.