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[HTML][HTML] Comparative analysis of RSM, ANN and ANFIS and the mechanistic modeling in eriochrome black-T dye adsorption using modified clay
The application of artificial neural network (ANN), response surface methodology (RSM),
and adaptive neuro-fuzzy inference system (ANFIS) in modeling the uptake of Eriochrome …
and adaptive neuro-fuzzy inference system (ANFIS) in modeling the uptake of Eriochrome …
Congo red dye removal using modified banana leaves: Adsorption equilibrium, kinetics, and reusability analysis
Congo red (CR) dye is a synthetic azo dye expansively used in the textile industry, is
discharged to aquatic environments, and is toxic to humans and aquatic flora. The …
discharged to aquatic environments, and is toxic to humans and aquatic flora. The …
CoFe2O4 magnetic nanoparticles as a highly active heterogeneous catalyst of oxone for the degradation of diclofenac in water
A magnetic nanoscaled catalyst cobalt ferrite (CoFe 2 O 4) was successfully prepared and
used for the activation of oxone to generate sulfate radicals for the degradation of diclofenac …
used for the activation of oxone to generate sulfate radicals for the degradation of diclofenac …
[HTML][HTML] Evaluation of optimization techniques in predicting optimum moisture content reduction in drying potato slices
The use of artificial intelligence models in predicting the moisture content reduction in the
drying of potato (Ipomoea batata) slices was the focus of this work. The models used were …
drying of potato (Ipomoea batata) slices was the focus of this work. The models used were …
Optimizing the leaching parameters and studying the kinetics of copper recovery from waste printed circuit boards
J Hao, X Wang, Y Wang, Y Wu, F Guo - ACS omega, 2022 - ACS Publications
The study of copper (Cu) recovery is crucial for the entire recovery process of waste printed
circuit boards (WPCBs), and Cu can be leached efficiently via a sulfuric acid–hydrogen …
circuit boards (WPCBs), and Cu can be leached efficiently via a sulfuric acid–hydrogen …
[HTML][HTML] Modeling and optimization of turbidity removal from produced water using response surface methodology and artificial neural network
In this study, results of parametric effects and optimization of turbidity removal from produced
water using response surface methodology (RSM) and artificial neural network (ANN) based …
water using response surface methodology (RSM) and artificial neural network (ANN) based …
Optimal factor evaluation for the dissolution of alumina from Azaraegbelu clay in acid solution using RSM and ANN comparative analysis
Artificial neural network (ANN) and Response Surface Methodology based on a 2 5-1
fractional factorial design were used as tools for simulation and optimisation of the …
fractional factorial design were used as tools for simulation and optimisation of the …
[HTML][HTML] Electrochemical glucose biosensor based on an osmium redox polymer and glucose oxidase grafted to carbon nanotubes: A design-of-experiments …
Enzymatic glucose electrodes based on mediated electron transfer have potential for
application as semi-implantable or implantable sensors. Enzyme electrodes consisting of …
application as semi-implantable or implantable sensors. Enzyme electrodes consisting of …
Optimizing the thiosulfate leaching of gold from printed circuit boards of discarded mobile phone
An environmentally benign process involving thiosulfate leaching was developed in order to
recover gold from the printed circuit boards (PCBs) of discarded mobile phone. The effect of …
recover gold from the printed circuit boards (PCBs) of discarded mobile phone. The effect of …
Modeling and optimization of African pear seed oil esterification and transesterification using artificial neural network and response surface methodology comparative …
This study aimed at modeling and optimum conditions evaluation of the production of fatty
acid methyl esters from high free fatty acid (FFA) and oil content African pear seed. The …
acid methyl esters from high free fatty acid (FFA) and oil content African pear seed. The …