Cite
Predicting Channel Gain Threshold for V2V Communications with Varying Doppler Shift Using Machine Learning
MLA
Nazmia Kurniawati, et al. “Predicting Channel Gain Threshold for V2V Communications with Varying Doppler Shift Using Machine Learning.” 2022 International Conference on Informatics Electrical and Electronics (ICIEE), Oct. 2022. 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...........4c004f2118c65b74caa0eeaac47bdd74&authtype=sso&custid=ns315887.
APA
Nazmia Kurniawati, Aisyah Novfitri, Rifqi Fuadi Hasani, & Arti Suryaning Tyas. (2022). Predicting Channel Gain Threshold for V2V Communications with Varying Doppler Shift Using Machine Learning. 2022 International Conference on Informatics Electrical and Electronics (ICIEE).
Chicago
Nazmia Kurniawati, Aisyah Novfitri, Rifqi Fuadi Hasani, and Arti Suryaning Tyas. 2022. “Predicting Channel Gain Threshold for V2V Communications with Varying Doppler Shift Using Machine Learning.” 2022 International Conference on Informatics Electrical and Electronics (ICIEE), October. 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...........4c004f2118c65b74caa0eeaac47bdd74&authtype=sso&custid=ns315887.