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Toplam kayıt 7, listelenen: 1-7
Characterization of chiral metamaterial sensor with high sensitivity
(Elsevier GmbH, 2020)
In this study, a chiral metamaterial sensor applications are created by placing asymmetrically two meander line front and back side of the substrate layer. Characterization of the dielectric constant, thickness and loss ...
Monopole antenna integrated cavity resonator for microwave imaging
(SPIE, 2021)
We present a system that displays an image of any metal structure in a scene by the use of microwave radiation from a cavity resonator in a 10-GHz frequency band. An 80 mm x 80 mm mushroom-like electromagnetic band gap ...
Radiation pattern reconfigurable cubical antenna array for 2.45 GHz wireless communication applications
(Springer, 2022)
In this paper a single-fed four-faced multidirectional compact antenna is introduced for 2.45 GHz indoor wireless applications. Firstly, a slotted patch antenna is designed to operate at 2.45 GHz and its equivalent circuit ...
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 ...