Výsledky vyhledávání - "Nurullah Çalık"

Reliable Computationally Efficient Behavioral Modeling of Microwave Passives Using Deep Learning Surrogates in Confined Domains

Autor: Slawomir Koziel, Nurullah Çalık, Peyman Mahouti, Mehmet A. Belen

Publikováno v: IEEE Transactions on Microwave Theory and Techniques. 71:956-968

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a4d48a20ced678ec385b652520a285e1
https://doi.org/10.1109/tmtt.2022.3218024

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Akademický článek

Deep-learning-based precise characterization of microwave transistors using fully-automated regression surrogates

Autor: Nurullah Calik, Filiz Güneş, Slawomir Koziel, Anna Pietrenko-Dabrowska, Mehmet A. Belen, Peyman Mahouti

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)

Abstract 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 endeavor due to

Externí odkaz: https://doaj.org/article/134b0c05bf7e4a51b1ca51fef4c67e4e

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Akademický článek

AI-Empowered Fast Task Execution Decision for Delay-Sensitive IoT Applications in Edge Computing Networks

Autor: Beste Atan, Mehmet Basaran, Nurullah Calik, Semiha Tedik Basaran, Gulde Akkuzu, Lutfiye Durak-Ata

Publikováno v: IEEE Access, Vol 11, Pp 1324-1334 (2023)

As the number of smart connected devices increases day by day, a massive amount of tasks are generated by various types of Internet of Things (IoT) devices. Intelligent edge computing is a promising enabler in next-generation wireless networks to exe

Externí odkaz: https://doaj.org/article/b22ccd12507f4702b8bf8dadc2442c7c

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Akademický článek

Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model With Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization

Autor: Nurullah Calik, Mehmet Ali Belen, Peyman Mahouti, Slawomir Koziel

Publikováno v: IEEE Access, Vol 9, Pp 38396-38410 (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, they entail considerable

Externí odkaz: https://doaj.org/article/564cdbc6de9047c49a62b1094c1055d8

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Akademický článek

Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate

Autor: Slawomir Koziel, Peyman Mahouti, Nurullah Calik, Mehmet Ali Belen, Stanislaw Szczepanski

Publikováno v: IEEE Access, Vol 9, Pp 71470-71481 (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 cost of massive fu

Externí odkaz: https://doaj.org/article/7b6f05cc8d704caab861a625e2d1c9da

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