MR Gadekar, MM Ahammed - Journal of …, 2019 - pubmed.ncbi.nlm.nih.gov
In this study, response surface methodology (RSM)-artificial neural network (ANN) approach was used to optimise/model disperse dye removal by adsorption using water treatment …
MR Gadekar, MM Ahammed - 2019 - cabidigitallibrary.org
In this study, response surface methodology (RSM)-artificial neural network (ANN) approach was used to optimise/model disperse dye removal by adsorption using water treatment …
MR Gadekar, MM Ahammed - Journal of Environmental …, 2018 - europepmc.org
In this study, response surface methodology (RSM)-artificial neural network (ANN) approach was used to optimise/model disperse dye removal by adsorption using water treatment …
MR Gadekar, MM Ahammed - Journal of Environmental …, 2019 - ui.adsabs.harvard.edu
In this study, response surface methodology (RSM)–artificial neural network (ANN) approach was used to optimise/model disperse dye removal by adsorption using water …
MR Gadekar, MM Ahammed - Journal of Environmental …, 2019 - academia.edu
In this study, response surface methodology (RSM)–artificial neural network (ANN) approach was used to optimise/model disperse dye removal by adsorption using water …
[引用][C]Modelling dye removal by adsorption onto water treatment residuals using combined response surface methodology-artificial neural network approach