Physics-informed deep neural networks for transient electromagnetic analysis O Noakoasteen, S Wang, Z Peng, C Christodoulou IEEE Open Journal of Antennas and Propagation 1, 404-412, 2020 | 54 | 2020 |
On antenna Q-factor characterization with generative adversarial networks J Vijayamohanan, O Noakoasteen, A Gupta, M Martínez-Ramón, ... 2020 IEEE International Symposium on Antennas and Propagation and North …, 2020 | 7 | 2020 |
Antenna Design Using a GAN-Based Synthetic Data Generation Approach O Noakoasteen, J Vijayamohanan, A Gupta, C Christodoulou IEEE Open Journal of Antennas and Propagation 3, 488-494, 2022 | 5 | 2022 |
Convolutional neural networks for radio source detection J Vijayamohanan, A Gupta, O Noakoasteen, C Christodoulou 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI …, 2021 | 3 | 2021 |
Source detection with multi-label classification J Vijayamohanan, A Gupta, O Noakoasteen, SK Goudos, ... IEEE Open Journal of Signal Processing, 2023 | 1 | 2023 |
Physics‐informed surrogates for electromagnetic dynamics using Transformers and graph neural networks O Noakoasteen, C Christodoulou, Z Peng, SK Goudos IET Microwaves, Antennas & Propagation, 2024 | | 2024 |
AI Assisted Workflows for Computational Electromagnetics and Antenna Design O Noakoasteen | | 2023 |