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| Reactive Black Removal by using Electrocoagulation Techniques: An Response Surface Methodology Optimization and Genetic Algorithm Modelling Approach |
| S Manikandan, R Saraswathi |
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J. Electrochem. Sci. Technol. 2023;14(2):174-183. Published online February 16, 2023 DOI: https://doi.org/10.33961/jecst.2022.00899 |
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Reactive Black Removal by using Electrocoagulation Techniques: An Response Surface Methodology Optimization and Genetic Algorithm Modelling Approach Journal of Electrochemical Science and Technology. 2023;14(2):174-183  Forebody Optimization Using Response Surface Methodology With Genetic Algorithm Volume 6: Design, Systems, and Complexity. 2021; The optimization of Cr(VI) reduction and removal by electrocoagulation using response surface methodology Journal of Hazardous Materials. 2009;162(2-3):1371-1378 Removal of Turbidity from Domestic Wastewater Using Electrocoagulation: Optimization with Response Surface Methodology Chemistry Africa. 2022;5(1):123-134 Optimization of Machining Parameters for Improving Energy Efficiency using Integrated Response Surface Methodology and Genetic Algorithm Approach Procedia CIRP. 2017;61:517-522 Biomass Grinding Process Optimization Using Response Surface Methodology and a Hybrid Genetic Algorithm Bioengineering. 2019;6(1):12 Removal of ciprofloxacin from hospital wastewater using electrocoagulation technique by aluminum electrode: Optimization and modelling through response surface methodology Process Safety and Environmental Protection. 2017;109:538-547 Modelling and Optimizing Pyrene Removal from the Soil by Phytoremediation using Response Surface Methodology, Artificial Neural Networks, and Genetic Algorithm Chemosphere. 2019;237:124486 Optimization of Acid Black 172 decolorization by electrocoagulation using response surface methodology Iranian Journal of Environmental Health Science & Engineering. 2012;9(1): Removal of pollutants with determination of power consumption from landfill leachate wastewater using an electrocoagulation process: optimization using response surface methodology (RSM) Applied Water Science. 2018;8(2): |
