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International Journal of Systems Science Volume 40, 2009 - Issue 7
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Original Articles

Implementation of automated diagnostic systems: ophthalmic arterial disorders detection case

Elif Derya Übeyli Faculty of Engineering, Department of Electrical and Electronics Engineering, TOBB Ekonomi ve Teknoloji Üniversitesi, 06530 Sögˇütözü, Ankara, TurkeyCorrespondence[email protected]
Pages 669-683 | Received 05 Apr 2007, Accepted 14 Aug 2008, Published online: 24 Jun 2009

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Tong Liu, Liang Hu, Chao Ma, Zhi-Yan Wang & Hui-Ling Chen. (2015) A fast approach for detection of erythemato-squamous diseases based on extreme learning machine with maximum relevance minimum redundancy feature selection. International Journal of Systems Science 46:5, pages 919-931.
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Shahnoor Shanta & Visakan Kadirkamanathan. (2015) A bootstrap-based approach for parameter and polyspectral density estimation of a non-minimum phase ARMA process. International Journal of Systems Science 46:3, pages 418-428.
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Indrajit Mandal & N. Sairam. (2014) New machine-learning algorithms for prediction of Parkinson's disease. International Journal of Systems Science 45:3, pages 647-666.
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Articles from other publishers (1)

E.D. Ubeyli. (2009) Analysis of doppler ultrasound signals: Ophthalmic arterial disorders detection case. Analysis of doppler ultrasound signals: Ophthalmic arterial disorders detection case.

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