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Feedforward artificial neural network-based model for predicting the removal of phenolic compounds from water by using deep eutectic solvent-functionalized CNTs

carbon nanotube; phenol derivative; solvent; adsorption; algorithm; chemistry; kinetics; theoretical model; water management; water pollutant; Adsorption; Algorithms; Kinetics; Models, Theoretical; Nanotubes, Carbon; Neural Networks, Computer; Phenols; Solvents; Water Pollutants, Chemical; Water Pur...

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Bibliographic Details
Main Authors: Ibrahim R.K., Fiyadh S.S., AlSaadi M.A., Hin L.S., Mohd N.S., Ibrahim S., Afan H.A., Fai C.M., Ahmed A.N., Elshafie A.
Other Authors: 57188832586
Format: Article
Published: MDPI AG 2023
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Summary:carbon nanotube; phenol derivative; solvent; adsorption; algorithm; chemistry; kinetics; theoretical model; water management; water pollutant; Adsorption; Algorithms; Kinetics; Models, Theoretical; Nanotubes, Carbon; Neural Networks, Computer; Phenols; Solvents; Water Pollutants, Chemical; Water Purification

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