All Outputs (2)

On the Performance of a Photonic Reconfigurable Electromagnetic Band Gap Antenna Array for 5G Applications (2024)
Journal Article
Elwi, T. A., Taher, F., Virdee, B. S., Alibakhshikenari, M., Zuazola, I. G., Krasniqi, A., Kamel, A. S., Tokan, N. T., Khan, S., Parchin, N. O., Livreri, P., Dayoub, I., Pau, G., Aïssa, S., Limiti, E., & Sree, M. F. A. (2024). On the Performance of a Pho

In this paper, a reconfigurable Multiple-Input Multiple-Output (MIMO) antenna array is presented for 5G portable devices. The proposed array consists of four radiating elements and an Electromagnetic Band Gap (EBG) structure. Planar monopole radiatin... Read More about On the Performance of a Photonic Reconfigurable Electromagnetic Band Gap Antenna Array for 5G Applications.

Pre-Processing-based Fast Design of Multiple EM Structures with One Deep Neural Network (2024)
Journal Article
Wang, P., Li, Z., Luo, C., Wei, Z., Wu, T., Jiang, W., Hong, T., Parchi, N. O., Pedersen, G. F., & Shen, M. (2024). Pre-Processing-based Fast Design of Multiple EM Structures with One Deep Neural Network. IEEE Transactions on Antennas and Propagation, 72(

Deep learning plays a vital role in the design of electromagnetic (EM) structures. However, in current research, a single neural network typically supports only one structure design and requires a complex framework to accommodate multiple structure d... Read More about Pre-Processing-based Fast Design of Multiple EM Structures with One Deep Neural Network.