New Information Technology Findings from Sungshin Women's University Reported (Multi-binary Classifiers Using Optimal Feature Selection for Memory-saving Intrusion Detection Systems)

MLA

“New Information Technology Findings from Sungshin Women’s University Reported (Multi-Binary Classifiers Using Optimal Feature Selection for Memory-Saving Intrusion Detection Systems).” Information Technology Newsweekly, 3 Sept. 2024, p. 565. 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=edsggo&AN=edsgcl.806796603&authtype=sso&custid=ns315887.

APA

New Information Technology Findings from Sungshin Women’s University Reported (Multi-binary Classifiers Using Optimal Feature Selection for Memory-saving Intrusion Detection Systems). (2024, September 3). Information Technology Newsweekly, 565.

Chicago

Information Technology Newsweekly. 2024. “New Information Technology Findings from Sungshin Women’s University Reported (Multi-Binary Classifiers Using Optimal Feature Selection for Memory-Saving Intrusion Detection Systems),” September 3. 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=edsggo&AN=edsgcl.806796603&authtype=sso&custid=ns315887.