Items where Author is "Al Sayaydeh, Osama Nayel"

Alhroob, Essam and Mohammed, Mohammed Falah and Al Sayaydeh, Osama Nayel and Hujainah, Fadhl and Ngahzaifa, Ab Ghani and Lim, Chee Peng (2024) A flexible enhanced fuzzy min-max neural network for pattern classification. Expert Systems with Applications, 251 (124030). pp. 1-13. ISSN 0957-4174. (Published)

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)

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 (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)

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) (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)