An enhanced fuzzy min–max neural network for pattern classification MF Mohammed, CP Lim IEEE transactions on neural networks and learning systems 26 (3), 417-429, 2014 | 130 | 2014 |
SAIRF: A similarity approach for attack intention recognition using fuzzy min-max neural network AA Ahmed, MF Mohammed Journal of Computational Science 25, 467-473, 2018 | 60 | 2018 |
Improving the Fuzzy Min-Max neural network with a K-nearest hyperbox expansion rule for pattern classification MF Mohammed, CP Lim Applied Soft Computing 52, 135-145, 2017 | 50 | 2017 |
Survey of fuzzy min–max neural network for pattern classification variants and applications ON Al Sayaydeh, MF Mohammed, CP Lim IEEE transactions on fuzzy systems 27 (4), 635-645, 2018 | 38 | 2018 |
A new hyperbox selection rule and a pruning strategy for the enhanced fuzzy min–max neural network MF Mohammed, CP Lim Neural networks 86, 69-79, 2017 | 36 | 2017 |
A critical review on selected fuzzy min-max neural networks and their significance and challenges in pattern classification E Alhroob, MF Mohammed, CP Lim, H Tao IEEE access 7, 56129-56146, 2019 | 27 | 2019 |
Diagnosis of the Parkinson disease using enhanced fuzzy min-max neural network and OneR attribute evaluation method ON Al Sayaydeha, MF Mohammad 2019 International Conference on Advanced Science and Engineering (ICOASE …, 2019 | 23 | 2019 |
A novel trust measurement method based on certified belief in strength for a multi-agent classifier system MF Mohammed, CP Lim, A Quteishat Neural Computing and Applications 24, 421-429, 2014 | 22 | 2014 |
A refined fuzzy min–max neural network with new learning procedures for pattern classification ON Al Sayaydeh, MF Mohammed, E Alhroob, H Tao, CP Lim IEEE Transactions on Fuzzy Systems 28 (10), 2480-2494, 2019 | 16 | 2019 |
Performance evaluation of completed local ternary patterns (CLTP) for medical, scene and event image categorisation TH Rassem, MF Mohammed, BE Khoo, NM Makbol 2015 4th International Conference on Software Engineering and Computer …, 2015 | 16 | 2015 |
Development of Java based RFID application programmable interface for heterogeneous RFID system MFM Ali, MI Younis, KZ Zamli, W Ismail Journal of Systems and Software 83 (11), 2322-2331, 2010 | 15 | 2010 |
Face recognition using Laplacian completed local ternary pattern (LapCLTP) SY Yee, TH Rassem, MF Mohammed, S Awang Advances in Electronics Engineering: Proceedings of the ICCEE 2019, Kuala …, 2020 | 11 | 2020 |
Medical, scene and event image category recognition using completed local ternary patterns (CLTP) TH Rassem, BE Khoo, MF Mohammed, NM Makbol Malaysian Journal of Computer Science 30 (3), 200-218, 2017 | 7 | 2017 |
Analysis on misclassification in existing contraction of fuzzy min–max models E Alhroob, MF Mohammed, ONA Sayaydeh, F Hujainah, NA Ghani Emerging Trends in Intelligent Computing and Informatics: Data Science …, 2020 | 5 | 2020 |
An Ensemble of Enhanced Fuzzy Min Max Neural Networks for Data Classification MF Mohammed, TH Rassem Telkomnika 15 (2), 942, 2017 | 5 | 2017 |
Applying a multi-agent classifier system with a novel trust measurement method to classifying medical data MF Mohammed, CP Lim, UK bt Ngah The 8th International Conference on Robotic, Vision, Signal Processing …, 2014 | 3 | 2014 |
A flexible enhanced fuzzy min-max neural network for pattern classification E Alhroob, MF Mohammed, ON Al Sayaydeh, F Hujainah, N Ab Ghani, ... Expert Systems with Applications 251, 124030, 2024 | 2 | 2024 |
Performance evaluation of completed local ternary pattern (CLTP) for face image recognition SY Yee, TH Rassem, MF Mohammed, NM Makbol International Journal of Advanced Computer Science and Applications 10 (4), 2019 | 2 | 2019 |
Investigation of contraction process issue in fuzzy min-max models E Alhroob, MF Mohammed, F Hujainah, ONA Sayaydeh, NA Ghani International Journal of Data Mining, Modelling and Management 14 (1), 1-14, 2022 | 1 | 2022 |
A New Wavelet Completed Local Ternary Count (WCLTC) for Image Classification TH Rassem, FA Alkareem, MF Mohammed, NM Makbol, A Sallam 2021 International Conference on Intelligent Technology, System and Service …, 2021 | 1 | 2021 |