L. Kouhalvandi Et Al. , "Multi-objective Efficiency and Phase Distortion Optimizations for Automated Design of Power Amplifiers through Deep Neural Networks," 2021 IEEE MTT-S International Microwave Symposium, IMS 2021 , vol.2021-June, Georgia, United States Of America, pp.233-236, 2021
Kouhalvandi, L. Et Al. 2021. Multi-objective Efficiency and Phase Distortion Optimizations for Automated Design of Power Amplifiers through Deep Neural Networks. 2021 IEEE MTT-S International Microwave Symposium, IMS 2021 , (Georgia, United States Of America), 233-236.
Kouhalvandi, L., Ceylan, O., & Özoğuz, İ. S., (2021). Multi-objective Efficiency and Phase Distortion Optimizations for Automated Design of Power Amplifiers through Deep Neural Networks . 2021 IEEE MTT-S International Microwave Symposium, IMS 2021 (pp.233-236). Georgia, United States Of America
Kouhalvandi, Lida, Osman Ceylan, And İsmail Serdar Özoğuz. "Multi-objective Efficiency and Phase Distortion Optimizations for Automated Design of Power Amplifiers through Deep Neural Networks," 2021 IEEE MTT-S International Microwave Symposium, IMS 2021, Georgia, United States Of America, 2021
Kouhalvandi, Lida Et Al. "Multi-objective Efficiency and Phase Distortion Optimizations for Automated Design of Power Amplifiers through Deep Neural Networks." 2021 IEEE MTT-S International Microwave Symposium, IMS 2021 , Georgia, United States Of America, pp.233-236, 2021
Kouhalvandi, L. Ceylan, O. And Özoğuz, İ. S. (2021) . "Multi-objective Efficiency and Phase Distortion Optimizations for Automated Design of Power Amplifiers through Deep Neural Networks." 2021 IEEE MTT-S International Microwave Symposium, IMS 2021 , Georgia, United States Of America, pp.233-236.
@conferencepaper{conferencepaper, author={Lida Kouhalvandi Et Al. }, title={Multi-objective Efficiency and Phase Distortion Optimizations for Automated Design of Power Amplifiers through Deep Neural Networks}, congress name={2021 IEEE MTT-S International Microwave Symposium, IMS 2021}, city={Georgia}, country={United States Of America}, year={2021}, pages={233-236} }