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

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

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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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מידע ביבליוגרפי
Main Authors: Abdul Hamid, Nor Hazren, Harun, H., Sunar, N. M., Ahmad, Faridah Hanim, Jasmani, Latifah, Suleiman, Norhidayah
פורמט: Article
שפה:English
יצא לאור: Science Publishing Corporation 2018
גישה מקוונת: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

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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

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