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A new kinetic model for the common juniper essenstial oil extraction by microwave hydrodistillation
(Chemical Industry Press, 2019)
The main objective of the present study was to model the kinetics of essential oil extraction from swelled ground juniper berries by classic hydrodistillation (HD) and microwave-assisted hydrodistillation (MAHD). A new ...
Estimation of NMVOC emissions using artificial neural networks and economical and sustainability indicators as inputs
(Springer Heidelberg, Heidelberg, 2016)
This paper describes the development of an artificial neural network (ANN) model based on economical and sustainability indicators for the prediction of annual non-methane volatile organic compounds (NMVOCs) emissions in ...
A new kinetic model for the common juniper essenstial oil extraction by microwave hydrodistillation
(Chemical Industry Press, Beijing, 2019)
The main objective of the present study was to model the kinetics of essential oil extraction from swelled ground juniper berries by classic hydrodistillation (HD) and microwave-assisted hydrodistillation (MAHD). A new ...
Arsenic removal by copper-impregnated natural mineral tufa part II: a kinetics and column adsorption study
(Springer Heidelberg, Heidelberg, 2019)
This batch and column kinetics study of arsenic removal utilized copper-impregnated natural mineral tufa (T-Cu(A-C)) under three ranges of particle size. Non-competitive kinetic data fitted by the Weber-Morris model and ...
Application of experimental design for the optimization of artificial neural network-based water quality model: a case study of dissolved oxygen prediction
(Springer Heidelberg, Heidelberg, 2018)
This paper presents an application of experimental design for the optimization of artificial neural network (ANN) for the prediction of dissolved oxygen (DO) content in the Danube River. The aim of this research was to ...