Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Yilmaz Camurcu A."'
Autor:
Tuba PALA, Ali Yilmaz Camurcu
Publikováno v:
Malaysian Journal of Computing, Vol 2, Iss 1, Pp 37-45 (2014)
Analysis of the diagnosis and treatment records by computer programs in the field of medicine constitutes a treatment-supporting factor. Like in many fields, in the field of medicine, too, the use of the methods of data mining has been increasing. It
Externí odkaz:
https://doaj.org/article/a27563846cbf49809621dab41683e32a
Autor:
Ali Yilmaz Camurcu, Önder Demir
Publikováno v:
2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).
In this study, a computer-aided detection system was developed for detection and investigation of lung nodules in computed tomography images using image processing techniques. The computer aided detection system consists of four stages. First and sec
Autor:
Ali Yilmaz Camurcu, Ebu Yusuf Guven
Publikováno v:
2018 3rd International Conference on Computer Science and Engineering (UBMK).
Intelligent systems change familiar objects as well as rapidly change common technologies. Internet of Things (IoT) applications are made with Cloud Computing can not meet the expectation of service quality due to bandwidth and network delays. It foc
Publikováno v:
2018 6th International Istanbul Smart Grids and Cities Congress and Fair (ICSG).
The purpose of this paper was to develop a novel actual time cyber security approach to smart grids. The developed way securely backed the smart meters among smart grids against external attacks in a distribution substation. Security is provided usin
Autor:
Tuba Pala, Ali Yilmaz Camurcu
Publikováno v:
Volume: 4, Issue: 1 12-16
Balkan Journal of Electrical and Computer Engineering
Balkan Journal of Electrical and Computer Engineering
Developing the system which will help doctors with the result to be obtained from the medical data sets by realizing the design of the medical decision support system in which data mining methods are used is the primary objective of this study. The s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abaeee1f5ae4c8f4762360211da1209d
https://hdl.handle.net/20.500.12684/1322
https://hdl.handle.net/20.500.12684/1322
Publikováno v:
Intelligent Data Analysis. 14:731-748
WOS: 000284213700008
The goal of this study was to develop an efficient clustering framework for processing high-dimensional datasets with reasonable memory and computing power requirements. Strehl and Ghosh proposed a novel clustering approach
The goal of this study was to develop an efficient clustering framework for processing high-dimensional datasets with reasonable memory and computing power requirements. Strehl and Ghosh proposed a novel clustering approach
Autor:
A. Yilmaz Camurcu, Buket Dogan
Publikováno v:
Computer Applications in Engineering Education. 18:375-382
Data mining can be used in the educational field to make teaching more effective, to provide help for the student and teacher, and to analyze data. Data mining can be useful with educational software like intelligent tutoring systems which contain la
Autor:
Ali Yilmaz Camurcu, Önder Demir
Publikováno v:
Bio-medical materials and engineering. 26
In this study, a computer-aided detection (CAD) system was developed for the detection of lung nodules in computed tomography images. The CAD system consists of four phases, including two-dimensional and three-dimensional preprocessing phases. In the
Autor:
Eyup Emre Ulku, Ali Yilmaz Camurcu
Publikováno v:
2013 International Conference on Electronics, Computer and Computation (ICECCO).
Computer-aided detection (CAD) systems help to radiology experts in mass detection using image processing techniques. This study aims to realize mass detection process on brain MRI (Magnetic Resonance Imaging) images. This paper describes the CAD sys
Autor:
Önder Demir, Ali Yilmaz Camurcu
Publikováno v:
2010 15th National Biomedical Engineering Meeting.
In this study, we developed a computer aided detection system (CAD) to detect lung nodules on computed tomography images. Template matching and similarity measurement methodsused for examine whether region of interest which extracted using image pre-