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Alhroob, Essam and Mohammed, Mohammed Falah and Al Sayaydeh, Osama Nayel and Hujainah, Fadhl and Ngahzaifa, Ab. Ghani (2020) Analysis on Misclassification in Existing Contraction of Fuzzy Min–max Models. In: IRICT 2019: Emerging Trends in Intelligent Computing and Informatics , 22-23 September 2019 , Johor, Malaysia. pp. 270-278., 1073. ISBN 978-3-030-33582-3

Al Sayaydeh, Osama Nayel and Mohammed, Mohammed Falah (2019) A new EFMM-OneR hybrid model for diagnosing parkinson's disease. In: 2nd International Conference on Advanced Science and Engineering 2019 (ICOASE2019) , 2-4 April 2019 , Duhok, Kurdistan Region-Iraq. pp. 1-6.. (Submitted)

Al Sayaydeh, Osama Nayel and Shamaileh, Abeer (2018) Fuzzy Min Max Neural Network for pattern classification: An overview of complexity problem. International Journal of Information Technology and Language Studies (IJITLS), 2 (3). pp. 110-117. ISSN 2521-8727. (Published)

Al Sayaydeh, Osama Nayel and Mohammed, Mohammed Falah and Lim, Chee Peng (2018) A survey of fuzzy min max neural networks for pattern classification: variants and applications. IEEE Transactions On Fuzzy Systems. pp. 1-11. ISSN 1063-6706. (In Press / Online First) (In Press / Online First)

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Shamaileh, Abeer and Rassem, Taha H. and Siau Chuin, Liew and Al Sayaydeh, Osama Nayel (2020) A new feature-based wavelet completed local ternary pattern (Feat-WCLTP) for texture image classification. IEEE Access, 8. 28276 -28288. ISSN 2169-3536. (Published)

Shamaileh, Abeer and Rassem, Taha H. and Liew, Siau-Chuin and Al Sayaydeh, Osama Nayel (2019) Different local binary operators for texture classification: a comparative study. International Journal of Advanced Trends in Computer Science and Engineering, 8 (3). pp. 889-896. ISSN 2278 - 3091. (Published)