Zobrazeno 1 - 10
of 162
pro vyhledávání: '"P. Mahouti"'
Publikováno v:
Radioengineering, Vol 25, Iss 3, Pp 490-499 (2016)
In this work, an accurate and reliable S- and Noise (N) - parameter black-box models for a microwave transistor are constructed based on the sparse regression using the Support Vector Regression Machine (SVRM) as a nonlinear extrapolator trained by t
Externí odkaz:
https://doaj.org/article/4ef4610698e644c3888644a63f63e02a
Publikováno v:
Radioengineering, Vol 23, Iss 1, Pp 134-143 (2014)
Honey Bee Mating Optimization (HBMO) is a recent swarm-based optimization algorithm to solve highly nonlinear problems, whose based approach combines the powers of simulated annealing, genetic algorithms, and an effective local search heuristic to se
Externí odkaz:
https://doaj.org/article/47bcd6c87b0c431fbf71b827f367721f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract In this study, in order to characterize the buried object via deep-learning-based surrogate modeling approach, 3-D full-wave electromagnetic simulations of a GPR model have been used. The task is to independently predict characteristic param
Externí odkaz:
https://doaj.org/article/08d3ca1e70f04b52b7017fda1a229bd2
Akademický článek
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Akademický článek
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Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract 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 the employment of
Externí odkaz:
https://doaj.org/article/f94dfea53f4048b0bdf7307d1d32e689
Autor:
Reyhan Yurt, Hamid Torpi, Ahmet Kizilay, Slawomir Koziel, Anna Pietrenko-Dabrowska, Peyman Mahouti
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-22 (2023)
Abstract This work addresses artificial-intelligence-based buried object characterization using FDTD-based electromagnetic simulation toolbox of a Ground Penetrating Radar (GPR) to generate B-scan data. In data collection, FDTD-based simulation tool,
Externí odkaz:
https://doaj.org/article/829e5a46da3549538cfeeade7b2b7660
Publikováno v:
IEEE Access, Vol 11, Pp 114415-114423 (2023)
Phased Array Antenna (PAA) technology plays an important role in fields such as radar, 5G and satellite or any application which requires wide bandwidth and high gain. However, achieving such design is a difficult and complex task that requires an ac
Externí odkaz:
https://doaj.org/article/b607c5d2d86e41b4beab63f5d3e8588c
Publikováno v:
IEEE Access, Vol 11, Pp 24175-24184 (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 implementations feature narrow bandw
Externí odkaz:
https://doaj.org/article/608ea1555d5c4f1cbf63ab4b59e0e039
Publikováno v:
IEEE Access, Vol 11, Pp 13309-13323 (2023)
This work addresses artificial-intelligence-based buried object characterization using 3-D full-wave electromagnetic simulations of a ground penetrating radar (GPR). The task is to characterize cylindrical shape, perfectly electric conductor (PEC) ob
Externí odkaz:
https://doaj.org/article/90798f5e430a4edf87dce175e440b485