Low-cost and highly accurate behavioral modeling of antenna structures by means of knowledge-based domain-constrained deep learning surrogates

S Koziel, N Çalık, P Mahouti… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The awareness and practical benefits of behavioral modeling methods have been steadily
growing in the antenna engineering community over the last decade or so. Undoubtedly, the …

Reliable computationally efficient behavioral modeling of microwave passives using deep learning surrogates in confined domains

S Koziel, N Çalık, P Mahouti… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The importance of surrogate modeling techniques has been steadily growing over the recent
years in high-frequency electronics, including microwave engineering. Fast metamodels are …

Overview of evolutionary algorithms and neural networks for modern mobile communication

L Kouhalvandi, I Shayea, S Ozoguz… - Transactions on …, 2022 - Wiley Online Library
The sixth generation (6G) of mobile networks must support the huge growth of mobile
connections and provides various intelligent services in future mobile networks. For that …

[HTML][HTML] Deep learning assisted automatic methodology for implanted mimo antenna designs on large ground plane

L Kouhalvandi, L Matekovits, I Peter - Electronics, 2021 - mdpi.com
This paper provides a novel methodology for designing implanted multiple-input and
multiple-output (MIMO) antennas in the automatic fashion. The proposed optimization …

Hyperparameter optimization of long short-term memory-based forecasting dnn for antenna modeling through stochastic methods

L Kouhalvandi, L Matekovits - IEEE Antennas and Wireless …, 2022 - ieeexplore.ieee.org
This letter presents an impressive optimization method for determining the optimal model
hyperparameters of a deep neural network (DNN) targeted to model the characteristics of …

[HTML][HTML] A Prospective Look on Optimization Methods For RFID Systems: Requirements, Challenges and Implementation Aspects

L Kouhalvandi - Balkan Journal of Electrical and Computer …, 2022 - dergipark.org.tr
The radio frequency identification (RFID) is a configuration of wireless communication that
uses radio frequency (RF) waves for following up and recognizing data. The RFID system …

[HTML][HTML] Directly matching an mmic amplifier integrated with mimo antenna through dnns for future networks

L Kouhalvandi - Sensors, 2022 - mdpi.com
Due to the exponential growth of data communications, linearity specification is deteriorating
and, in high frequency systems, impedance transformation leading to power delivering from …

Modeling of HEMT Devices Through Neural Networks: Headway for Future Remedies

L Kouhalvandi, SD Guerrieri - 2023 10th International …, 2023 - ieeexplore.ieee.org
Small-signal and large-signal modeling of high elec-tron mobility transistors (HEMTs) are
developing day-by-day where accurate model extractions rely on characterizing the …

Design and optimization of a Quasi‐Yagi antenna for 5G communications

A Ala, P Bactavatchalame… - Microwave and Optical …, 2024 - Wiley Online Library
Abstract A novel Quasi‐Yagi‐Uda antenna on a flexible material is designed and
demonstrated in this paper. The antenna is developed on an ultra‐thin polyimide substrate …

Key generation of biomedical implanted antennas through artificial neural networks

L Kouhalvandi, L Matekovits… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
This paper presents an accurate and efficient optimization-based approach for modelling
and sizing implanted antennas automatically. The proposed method employs the long short …