In this study, response surface methodology was employed for the removal of fluoride.
In this study, response surface methodology along with the central composite design approach is used to calibrate BPMs.
In this study, response surface methodology was employed to optimize the extraction of polysaccharides from Phellinus nigricans mycelia.
In this study, Response Surface Methodology (RSM) was used to achieve satisfactory responses of lateral flow membrane performances.
In this study, response surface methodology was employed to optimize conditions for the extraction of barley β-glucan.
In this study, response surface methodology (RS M was applied on the design of experiments for optimizing the cryoprotective medium.
In this study, response surface methodology was applied to maximize production of erucic acid from lipase catalyzed mustard oil hydrolysis.
In this study, response surface methodology has been used for the modelling (Sahoo and Gupta 2012; Lee and Hamid 2015; Mansouriieh et al. 2015) of the acetamiprid degradation.
In this study, response surface methodology was used to optimize the soaking conditions of blackgram dal in order to reduce these flatogenic sugars.
In this study, response surface methodology (RS M and artificial neural network (ANN) were employed to develop prediction models for lead removal from industrial sludge leachate using red mud.
In this study, response surface (RS) model and an artificial neural network (ANN) are developed to predict surface roughness values error on mold surfaces.
