A hybrid artificial neural network and particle swarm optimization for prediction of removal of hazardous dye brilliant green from aqueous solution using zinc sulfide …

M Ghaedi, A Ansari, F Bahari, AM Ghaedi… - Spectrochimica Acta Part …, 2015 - Elsevier
In the present study, zinc sulfide nanoparticle loaded on activated carbon (ZnS-NP-AC)
simply was synthesized in the presence of ultrasound and characterized using different …

Artificial neural network (ANN) method for modeling of sunset yellow dye adsorption using zinc oxide nanorods loaded on activated carbon: Kinetic and isotherm study

M Maghsoudi, M Ghaedi, A Zinali, AM Ghaedi… - … Acta Part A: Molecular …, 2015 - Elsevier
In this research, ZnO nanoparticle loaded on activated carbon (ZnO-NPs-AC) was
synthesized simply by a low cost and nontoxic procedure. The characterization and …

Artificial neural network-genetic algorithm based optimization for the adsorption of methylene blue and brilliant green from aqueous solution by graphite oxide …

M Ghaedi, N Zeinali, AM Ghaedi, M Teimuori… - … Acta Part A: Molecular …, 2014 - Elsevier
In this study, graphite oxide (GO) nano according to Hummers method was synthesized and
subsequently was used for the removal of methylene blue (MB) and brilliant green (BG). The …

Statistical experimental design, least squares-support vector machine (LS-SVM) and artificial neural network (ANN) methods for modeling the facilitated adsorption of …

A Asfaram, M Ghaedi, MHA Azqhandi, A Goudarzi… - RSC …, 2016 - pubs.rsc.org
This study is based on the usage of a composite of zinc sulfide nanoparticles with activated
carbon (ZnS-NPs-AC) for the adsorption of methylene blue (MB) from aqueous solutions …

A random forest approach for predicting the removal of Congo red from aqueous solutions by adsorption onto tin sulfide nanoparticles loaded on activated carbon

N Dehghanian, M Ghaedi, A Ansari… - … and Water Treatment, 2016 - Taylor & Francis
In this work, tin sulfide nanoparticles loaded on activated carbon (SnS-NP-AC) was
synthesized and characterized using various analytical techniques, such as SEM, BET …

Synthesis of nickel sulfide nanoparticles loaded on activated carbon as a novel adsorbent for the competitive removal of methylene blue and safranin-O

M Ghaedi, M Pakniat, Z Mahmoudi, S Hajati… - … Acta Part A: Molecular …, 2014 - Elsevier
Nickel sulfide nanoparticle-loaded activated carbon (NiS-NP-AC) were synthesized as a
novel adsorbent for simultaneous and rapid adsorption of Methylene blue (MB) and Safranin …

Ultrasonic assisted removal of sunset yellow from aqueous solution by zinc hydroxide nanoparticle loaded activated carbon: Optimized experimental design

M Roosta, M Ghaedi, R Sahraei, MK Purkait - Materials Science and …, 2015 - Elsevier
The efficiency of zinc hydroxide nanoparticle loaded on activated carbon (Zn (OH) 2-NP-AC)
in the removal of sunset yellow from aqueous solutions using ultrasonic-assisted adsorption …

Application of experimental design for removal of sunset yellow by copper sulfide nanoparticles loaded on activated carbon

S Khodadoust, M Ghaedi, R Sahraei… - Journal of Industrial and …, 2014 - Elsevier
In this study, copper sulfide nanoparticles loaded on activated carbon (CuS-NP-AC) was
synthesized by novel, low cost and green approach and characterized using different …

Artificial neural network–imperialist competitive algorithm based optimization for removal of sunset yellow using Zn (OH) 2 nanoparticles-activated carbon

M Ghaedi, AM Ghaedi, E Negintaji, A Ansari… - Journal of Industrial and …, 2014 - Elsevier
The effects of variables were modeled using multiple linear regressions (MLR) and artificial
neural network (ANN) and the variables were optimized by imperialist competitive algorithm …

Application of random forest, radial basis function neural networks and central composite design for modeling and/or optimization of the ultrasonic assisted adsorption …

MHA Azqhandi, M Ghaedi, F Yousefi… - Journal of colloid and …, 2017 - Elsevier
Two machine learning approach (ie Radial Basis Function Neural Network (RBF-NN) and
Random Forest (RF) was developed and evaluated against a quadratic response surface …