Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network

M Zulfiqar, MFR Samsudin, S Sufian - Journal of Photochemistry and …, 2019 - Elsevier
The epidemic growth of the pharmaceuticals industries over the years in order to meet the
human demands had exerted substantial pressure on the global environment, particularly …

The use of artificial neural network (ANN) for modeling of COD removal from antibiotic aqueous solution by the Fenton process

ES Elmolla, M Chaudhuri, MM Eltoukhy - Journal of hazardous materials, 2010 - Elsevier
The study examined the implementation of artificial neural network (ANN) for the prediction
and simulation of antibiotic degradation in aqueous solution by the Fenton process. A three …

Removal of Cu2+ from aqueous solution by adsorption in a fixed bed column and Neural Network Modelling

E Oguz, M Ersoy - Chemical Engineering Journal, 2010 - Elsevier
Adsorption potential of shells of Sunflower to remove Cu2+ ions from aqueous solution was
investigated using a fixed-bed adsorption column. The effects of inlet Cuo2+ concentration …

Biosorption of cobalt (II) with sunflower biomass from aqueous solutions in a fixed bed column and neural networks modelling

E Oguz, M Ersoy - Ecotoxicology and Environmental Safety, 2014 - Elsevier
The effects of inlet cobalt (II) concentration (20–60 ppm), feed flow rate (8–19 ml/min) and
bed height (5–15 cm), initial solution pH (3–5) and particle size (0.25< x< 0.5, 0.5< x< 1 and …

The performance of Fe2+/ClO− system in advanced removal of fulvic acid under mild conditions

T He, L Deng, B Lai, S Xu, L Wang, Y Zhang… - Journal of …, 2022 - Elsevier
Fulvic acid (FA), a humics, was employed as a model representing bio-refractory soluble
organic matter to investigate the performance of co-utilized FeSO 4 and Ca (ClO) 2 in …

A novel ANN approach for modeling of alternating pulse current electrocoagulation-flotation (APC-ECF) process: Humic acid removal from aqueous media

G Hasani, H Daraei, B Shahmoradi, F Gharibi… - Process Safety and …, 2018 - Elsevier
A novel application of artificial neural networks (ANN) combined with Taguchi orthogonal
experimental design methodology (27 runs, 3 levels, 6 factors) was introduced for modeling …

[HTML][HTML] Fixed-bed column studies on the removal of Fe3+ and neural network modelling

E Oguz - Arabian Journal of Chemistry, 2017 - Elsevier
The sorption potential of the particles of ignimbrite to uptake Fe 3+ ions from an aqueous
solution was investigated using a fixed-bed sorption column. The effects of inlet Fe 3+ …

Optimal performance of COD removal during aqueous treatment of alazine and gesaprim commercial herbicides by direct and inverse neural network

YE Hamzaoui, JA Hernández, S Silva-Martínez… - Desalination, 2011 - Elsevier
A direct and inverse artificial neural network (ANN and ANNi) approach was developed to
predict the chemical oxygen demand (COD) removal during the degradation of alazine and …

Artificial neural networks, optimization and kinetic modeling of amoxicillin degradation in photo-fenton process using aluminum pillared montmorillonite-supported …

OB Ayodele, HS Auta, NM Nor - Industrial & engineering chemistry …, 2012 - ACS Publications
An artificial neural network (ANN) was applied to study the hierarchy of significance of
process variables affecting the degradation of amoxicillin (AMX) in a heterogeneous photo …

Degradation of humic acids through heterogeneous catalytic ozonation with bone charcoal

S Mortazavi, G Asgari, S Hashemian… - Reaction Kinetics …, 2010 - akjournals.com
Catalytic ozonation has recently been used as a new means of contaminant removal from
water and wastewater. In this study, bone charcoal (BC), a new catalyst prepared under …