Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Imam Samil Yetik"'
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2953 (2022)
A new method to classify electronic devices using a Frequency-Swept Harmonic Radar (FSHR) approach is proposed in this paper. The FSHR approach enables us to utilize the frequency diversity of the harmonic responses of the electronic circuits. Unlike
Externí odkaz:
https://doaj.org/article/92affef4551f46fcb5c41607a1a8f120
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 57:3614-3622
Publikováno v:
2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).
Publikováno v:
2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP).
Autor:
Murat Avsar, Imam Samil Yetik
Publikováno v:
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 29:470-480
Removal of hair using laser is a widely used method, where our goal is to permanently remove hair by using laser to cause heat in order to thermally damage the hair follicle. However, currently available laser hair removal systems affect the outer sk
Publikováno v:
2021 13th International Conference on Electrical and Electronics Engineering (ELECO).
Autor:
Imam Samil Yetik, Osman Murat Teket
Publikováno v:
ICVISP
The aim of this study is to obtain an algorithm to analyze a basketball training in real time. That is, the approach should be able to detect the correct players and scores for each player. For this purpose, we first propose a method to detect the sh
Autor:
Ali Guven, Kaan Orhan, Ahmet Kursad Culhaoglu, Imam Samil Yetik, Mehmet Kilicarslan Kilicarslan
Publikováno v:
SIU
Segmentation of teeth region from the dental panoramic X-Ray images is an important task in determining various diseases. The main goal of this article is to be able to automatically segment the region of teeth in panoramic x-ray images. First, the c
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2011 (2011)
Accurate estimation of the prostate location and volume from in vivo images plays a crucial role in various clinical applications. Recently, magnetic resonance imaging (MRI) is proposed as a promising modality to detect and monitor prostate-related d
Externí odkaz:
https://doaj.org/article/788051c66509418cbd14c77d9b976837
Publikováno v:
Digital Signal Processing: A Review Journal
Compressive Sensing (CS) based techniques generally discretize the signal space and assume that the signal has a sparse support restricted on the discretized grid points. This restriction of representing the signal on a discretized grid results in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ff99108892d3e088c53506fbcb42ce1
http://hdl.handle.net/20.500.11851/2750
http://hdl.handle.net/20.500.11851/2750