Mohammed Falah Mohammed
Mohammed Falah Mohammed
Nawroz University, College of Engineering, Computer and Communication Department
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Cited by
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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
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
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
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
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
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
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
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
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
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
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
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
An Ensemble of Enhanced Fuzzy Min Max Neural Networks for Data Classification
MF Mohammed, TH Rassem
Telkomnika 15 (2), 942, 2017
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
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
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
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
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
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
Uncertain Data Modeling Based on Evolving Ellipsoidal Fuzzy Information Granules..................................................... LAQ Cordovil, PHS Coutinho, IV de Bessa …
ZP Wang, HN Wu, H Liang, Y Dong, Z Ding, R Urena, F Chiclana, ...
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