TY - GEN
T1 - Machine Learning in Electromagnetics: A Review and Some Perspectives for Future Research
AU - Erricolo, Danilo
AU - Chen, Pai-Yen
AU - Rozhkova, Anastasiia
AU - Torabi, Elahehsadat
AU - Bagci, Hakan
AU - Shamim, Atif
AU - Zhang, Xianglian
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2019/10/24
Y1 - 2019/10/24
N2 - We review machine learning and its applications in a wide range of electromagnetic problems, including radar, communication, imaging and sensing. We extensively discuss some recent progress in development and use of intelligent algorithms for antenna design, synthesis, and characterization. We also provide some perspectives for future research directions in this emerging field of study.
AB - We review machine learning and its applications in a wide range of electromagnetic problems, including radar, communication, imaging and sensing. We extensively discuss some recent progress in development and use of intelligent algorithms for antenna design, synthesis, and characterization. We also provide some perspectives for future research directions in this emerging field of study.
UR - http://hdl.handle.net/10754/660370
UR - https://ieeexplore.ieee.org/document/8879110/
UR - http://www.scopus.com/inward/record.url?scp=85074913859&partnerID=8YFLogxK
U2 - 10.1109/ICEAA.2019.8879110
DO - 10.1109/ICEAA.2019.8879110
M3 - Conference contribution
SN - 9781728105635
SP - 1377
EP - 1380
BT - 2019 International Conference on Electromagnetics in Advanced Applications (ICEAA)
PB - IEEE
ER -