Bayesian Deep Neural Network to Compensate for Current Transformer Saturation

MLA

Sang-Hee Kang, et al. “Bayesian Deep Neural Network to Compensate for Current Transformer Saturation.” IEEE Access, vol. 9, Jan. 2021, pp. 154731–39. 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=edsair&AN=edsair.doi.dedup.....697a6c206dd80434a8910d5697a9b998&authtype=sso&custid=ns315887.

APA

Sang-Hee Kang, Sopheap Key, Soon-Ryul Nam, & Nam-Ho Lee. (2021). Bayesian Deep Neural Network to Compensate for Current Transformer Saturation. IEEE Access, 9, 154731–154739.

Chicago

Sang-Hee Kang, Sopheap Key, Soon-Ryul Nam, and Nam-Ho Lee. 2021. “Bayesian Deep Neural Network to Compensate for Current Transformer Saturation.” IEEE Access 9 (January): 154731–39. 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=edsair&AN=edsair.doi.dedup.....697a6c206dd80434a8910d5697a9b998&authtype=sso&custid=ns315887.