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Modelling of dissolved oxygen in the Danube River using artificial neural networks and Monte Carlo Simulation uncertainty analysis
(Elsevier Science Bv, Amsterdam, 2014)
This paper describes the training, validation, testing and uncertainty analysis of general regression neural network (GRNN) models for the forecasting of dissolved oxygen (DO) in the Danube River. The main objectives of ...
Pb(II) removal from aqueous solution by Myriophyllum spicatum and its compost: equilibrium, kinetic and thermodynamic study
(Wiley, Hoboken, 2014)
BACKGROUND Lead is one of the frequent contaminants of industrial wastewater. Since it has been shown that aquatic plants can be used for the removal of heavy metals, herein Pb(II) biosorption by Myriophyllum spicatum and ...
Comparative analysis of mathematical models for supercritical extraction simulation from industrially valuable lamiaceae herbs
(Wiley, Hoboken, 2014)
The present study was aimed to compare different mathematical models used to simulate process of supercritical extraction from commercially important Lamiaceae herbs. Supercritical extractions with carbon dioxide from ...