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Predicting the capability of oxidized CNW adsorbents for the remediation of copper under optimal operating conditions using RSM and ANN models

Metal pollutants such as copper released into the aqueous environment have been increasing as a result of anthropogenic activities. Adsorption-based treatment technologies offer opportunities to remediate metal pollutants from municipal and industrial wastewater effluent. The aim of this work was to...

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Bibliographic Details
Main Authors: Abdul Hamid, Nor Hazren, Harun, H., Sunar, N. M., Ahmad, Faridah Hanim, Jasmani, Latifah, Suleiman, Norhidayah
Format: Article
Language:English
Published: Science Publishing Corporation 2018
Online Access:http://psasir.upm.edu.my/id/eprint/73585/1/Predicting%20the%20capability%20of%20oxidized%20CNW%20adsorbents%20for%20the%20remediation%20of%20copper%20under%20optimal%20operating%20conditions%20using%20RSM%20and%20ANN%20models.pdf
http://psasir.upm.edu.my/id/eprint/73585/
https://www.sciencepubco.com/index.php/ijet/article/view/22279
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http://psasir.upm.edu.my/id/eprint/73585/1/Predicting%20the%20capability%20of%20oxidized%20CNW%20adsorbents%20for%20the%20remediation%20of%20copper%20under%20optimal%20operating%20conditions%20using%20RSM%20and%20ANN%20models.pdf
http://psasir.upm.edu.my/id/eprint/73585/
https://www.sciencepubco.com/index.php/ijet/article/view/22279

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