Items where Author is "Mohammed, Mohammed Falah"

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)

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)

Sam, Yin Yee and Rassem, Taha Hussein and Mohammed, Mohammed Falah and Suryanti, Awang (2020) Face recognition using laplacian completed local ternary pattern (LapCLTP). In: Advances in Electronics Engineering: Proceedings of the ICCEE 2019 , 29-30 April 2019 , Kuala Lumpur, Malaysia. pp. 315-327., 619. ISBN 978-981-15-1289-6 (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)

Alhroob, Essam and Mohammed, Mohammed Falah and Lim, Chee Peng and Tao, Hai (2019) A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification. IEEE Access, 7. pp. 56129-56146. ISSN 2169-3536. (Published)

Sam, Yin Yee and Rassem, Taha H. and Mohammed, Mohammed Falah and Makbol, Nasrin M. (2019) Performance Evaluation of Completed Local Ternary Pattern (CLTP) for Face Image Recognition. International Journal of Advanced Computer Science and Applications (IJACSA), 10 (4). pp. 379-387. ISSN 2156-5570(Online). (Published)

Rassem, Taha H. and Makbol, Nasrin M. and Alsewari, Abdulrahman A. and Mohammed, Mohammed Falah and Kamal Z., Zamli (2018) Anti-Forgery Document Detection System (FDDS). In: 29th International Invention, Innovation & Technology Exhibition, Malaysia , 2-4 May 2018 , Kuala Lumpur Convention Centre, Malaysia. . (Unpublished) (Unpublished)

Ahmed, Abdulghani Ali and Mohammed, Mohammed Falah (2018) SAIRF: A similarity approach for attack intention recognition using fuzzy min-max neural network. Journal of Computational Science, 25. pp. 467-473. ISSN 1877-7503. (Published)

Fatimah, A. Alkareem and Mohammed, Mohammed Falah and Rassem, Taha H. (2018) Texture and medical image classification using Wavelet Completed Local Ternary Count (WCLTC) texture descriptor. In: 8th Conference On Innovative Computing Technology (INTECH 2018) , 15 - 17 Aug 2018 , Luton, UK. pp. 1-8.. (Unpublished) (Unpublished)

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)

Rassem, Taha H. and Bee, Ee Khoo and Mohammed, Mohammed Falah and Makbol, Nasrin M. (2017) Medical, Scene And Event Image Category Recognition Using Completed Local Ternary Patterns (CLTP). Malaysian Journal of Computer Science, 30 (3). pp. 200-218. ISSN 0127-9084. (Published)

Mohammed, Mohammed Falah and Rassem, Taha H. (2017) An Ensemble of Enhanced Fuzzy Min Max Neural Networks for Data Classification. Telkomnika, 15 (2). pp. 942-948. ISSN 1693-6930. (Published)

Mohammed, Mohammed Falah and Chee, Peng Lim (2017) Improving the Fuzzy Min-Max Neural Network with a K-nearest Hyperbox Expansion Rule for Pattern Classification. Applied Soft Computing, 52. pp. 135-145. ISSN 1568-4946 (print); 1872-9681 (online). (Published)

Mohammed, Mohammed Falah and Chee, Peng Lim (2017) A New Hyperbox Selection Rule and a Pruning Strategy for the Enhanced Fuzzy Min–Max Neural Network. Neural Networks, 86. pp. 69-79. ISSN 0893-6080. (Published)

Rassem, Taha H. and Mohammed, Mohammed Falah and Khoo, Bee Ee and Makbol, Nasrin M. (2015) Performance Evaluation of Completed Local Ternary Patterns (CLTP) for Medical, Scene and Event Image Categorisation. In: 4th International Conference on Software Engineering and Computer Systems (ICSECS 2015) , 19-21 August 2015 , Kuantan, Pahang. pp. 33-38.. ISBN 978-1-4673-6722-6 (Published)