Utilizing Resonant Scattering Signal Characteristics of Magnetic Spheres via Deep Learning for Improved Target Classification

dc.contributor.author	Selver, M.A.
dc.contributor.author	Toprak, T.
dc.contributor.author	Secmen, M.
dc.contributor.author	Zoral, E.Y.
dc.date.accessioned	2021-01-25T19:32:51Z
dc.date.available	2021-01-25T19:32:51Z
dc.date.issued	2019
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7443
dc.description.abstract	Object classification using LAte-time Resonant Scattering Electromagnetic Signals (LARSESs) is a significant problem found in different areas of application. Due to their special properties, spherical objects play an important role in this field both as a
dc.language.iso	English
dc.publisher	IEEE
dc.title	Utilizing Resonant Scattering Signal Characteristics of Magnetic Spheres via Deep Learning for Improved Target Classification
dc.type	Proceedings Paper
dc.description.woscategory	Computer Science, Theory & Methods; Engineering, Electrical & Electronic; Telecommunications
dc.description.wosresearcharea	Computer Science; Engineering; Telecommunications
dc.identifier.wosid	WOS:000569987700045
dc.identifier.ctitle	International Symposium on Advanced Electrical and Communication Technologies (ISAECT)
dc.identifier.cdate	NOV 27-29, 2019

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