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Toplam kayıt 7, listelenen: 1-7
Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate
(Institute of Electrical and Electronics Engineers Inc., 2021)
Fast replacement models (or surrogates) have been widely applied in the recent years to accelerate simulation-driven design procedures in microwave engineering. The fundamental reason is a considerable-and often prohibitive-CPU ...
Microstrip leaky wave antenna for wide range of beam scanning in X band
(Wiley, 2021)
In this work, design of a pattern reconfigurable antenna is presented for X-band applications as a leaky wave antenna (LWA) realization. Due to the advantages of simple design schematic, low profile, and easy impedance ...
Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model With Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization
(Institute of Electrical and Electronics Engineers Inc., 2021)
Surrogate modeling has become an important tool in the design of high-frequency structures. Although full-wave electromagnetic (EM) simulation tools provide an accurate account for the circuit characteristics and performance, ...
Accurate Modeling of Antenna Structures by Means of Domain Confinement and Pyramidal Deep Neural Networks
(Institute of Electrical and Electronics Engineers Inc., 2022)
The importance of surrogate modeling techniques has been gradually increasing in the design of antenna structures over the recent years. Perhaps the most important reason is a high cost of full-wave electromagnetic (EM) ...
3D EM data driven surrogate based design optimization of traveling wave antennas for beam scanning in X-band: an application example
(Springer, 2022)
In this paper, design and optimization of a microstrip elliptic traveling wave antenna (TWA) are presented for the beam scanning in X-band as an application of 3D data driven surrogate based design optimization technique. ...
Low-Cost and Highly Accurate Behavioral Modeling of Antenna Structures by Means of Knowledge-Based Domain-Constrained Deep Learning Surrogates
(Institute of Electrical and Electronics Engineers Inc., 2023)
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 most important advantage thereof is a possibility ...
Deep-learning-based precise characterization of microwave transistors using fully-automated regression surrogates
(Nature Research, 2023)
Accurate models of scattering and noise parameters of transistors are instrumental in facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data-driven modeling of transistors is a challenging ...