Yazar "Koziel, Slawomir" için listeleme
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Accurate Modeling of Antenna Structures by Means of Domain Confinement and Pyramidal Deep Neural Networks
Koziel, Slawomir; Çalık, Nurullah; Mahouti, Peyman; Belen, Mehmet Ali (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) ... -
Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model With Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization
Çalık, Nurullah; Belen, Mehmet Ali; Mahouti, Peyman; Koziel, Slawomir (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, ... -
Data-Driven Surrogate-Assisted Optimization of Metamaterial-Based Filtenna Using Deep Learning
Mahouti, Peyman; Belen, Aysu; Tarı, Özlem; Belen, Mehmet Ali; Karahan, Serdal; Koziel, Slawomir (MDPI, 2023)In this work, a computationally efficient method based on data-driven surrogate models is proposed for the design optimization procedure of a Frequency Selective Surface (FSS)-based filtering antenna (Filtenna). A Filtenna ... -
Deep-learning-based precise characterization of microwave transistors using fully-automated regression surrogates
Çalık, Nurullah; Güneş, Filiz; Koziel, Slawomir; Pietrenko-Dabrowska, Anna; Belen, Mehmet Ali; Mahouti, Peyman (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 ... -
Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate
Koziel, Slawomir; Mahouti, Peyman; Çalık, Nurullah; Belen, Mehmet Ali; Szczepanski, Stanislaw (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 ... -
Low-Cost and Highly Accurate Behavioral Modeling of Antenna Structures by Means of Knowledge-Based Domain-Constrained Deep Learning Surrogates
Koziel, Slawomir; Çalık, Nurullah; Mahouti, Peyman; Belen, Mehmet Ali (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 ... -
Optimal design of transmitarray antennas via low-cost surrogate modelling
Belen, Mehmet Ali; Çalışkan, Alper; Koziel, Slawomir; Pietrenko-Dabrowska, Anna; Mahouti, Peyman (Nature Research, 2023)Over the recent years, reflectarrays and transmitarrays have been drawing a considerable attention due to their attractive features, including a possibility of realizing high gain and pencil-like radiation patterns without ... -
Rapid Design of 3D Reflectarray Antennas by Inverse Surrogate Modeling and Regularization
Koziel, Slawomir; Belen, Mehmet Ali; Çalışkan, Alper; Mahouti, Peyman (Institute of Electrical and Electronics Engineers Inc., 2023)Reflectarrays (RAs) exhibit important advantages over conventional antenna arrays, especially in terms of realizing pencil-beam patterns without the employment of the feeding networks. Unfortunately, microstrip RA ...
