Optimization of Compact Microstrip Monopole Antenna Parameters with NS-RFO and Artificial Intelligence in Antenna Design

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dc.contributor.authorPak, S.
dc.contributor.authorGüneser, M.T.
dc.contributor.authorSeker, C.
dc.date.accessioned2024-09-29T16:16:40Z
dc.date.available2024-09-29T16:16:40Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.descriptionBerdan Civata B.C.; et al.; Figes; Koluman; Loodos; Tarsus Universityen_US
dc.description32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 -- 15 May 2024 through 18 May 2024 -- Mersin -- 201235en_US
dc.description.abstractDevelopments in artificial intelligence directly affect various fields of science. This is especially important in the solution of higher-order models and systems that do not have an exact equation. Due to the difficulties in modeling electromagnetic systems, artificial intelligence-based studies have a special importance in this field. In this study, the multidimensional optimization of a compact microstrip monopole antenna that can be used in next generation communication applications is studied with a new artificial intelligence algorithm, the red fox algorithm. Thus, a compact microstrip antenna with broadband (8.75 GHz - 11.25 GHz) radiation at 10 GHz resonant frequency is designed for X-Band applications. © 2024 IEEE.en_US
dc.identifier.doi10.1109/SIU61531.2024.10601083
dc.identifier.isbn979-835038896-1
dc.identifier.scopus2-s2.0-85200861845en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SIU61531.2024.10601083
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9253
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject5Gen_US
dc.subject6Gen_US
dc.subjectoptimizationen_US
dc.subjectparetoen_US
dc.subjectRFOen_US
dc.titleOptimization of Compact Microstrip Monopole Antenna Parameters with NS-RFO and Artificial Intelligence in Antenna Designen_US
dc.title.alternativeKompakt Mikroşerit Monopol Anten Parametrelerinin NS-RFO ile Optimizasyonu ve Anten Tasarımında Yapay Zeka kullanımıen_US
dc.typeConference Objecten_US

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