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

MLA

Abdul Hamid, Nor Hazren, et al. Predicting the Capability of Oxidized CNW Adsorbents for the Remediation of Copper under Optimal Operating Conditions Using RSM and ANN Models. 2018. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1191460897&authtype=sso&custid=ns315887.

APA

Abdul Hamid, N. H., Harun, H., Sunar, N. M., Ahmad, F. H., Jasmani, L., & Suleiman, N. (2018). Predicting the capability of oxidized CNW adsorbents for the remediation of copper under optimal operating conditions using RSM and ANN models.

Chicago

Abdul Hamid, Nor Hazren, H. Harun, N. M. Sunar, Faridah Hanim Ahmad, Latifah Jasmani, and Norhidayah Suleiman. 2018. “Predicting the Capability of Oxidized CNW Adsorbents for the Remediation of Copper under Optimal Operating Conditions Using RSM and ANN Models.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1191460897&authtype=sso&custid=ns315887.