Maysam Abbod
Maysam Abbod
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Cited by
Survey of utilisation of fuzzy technology in medicine and healthcare
MF Abbod, DG von Keyserlingk, DA Linkens, M Mahfouf
Fuzzy Sets and Systems 120 (2), 331-349, 2001
Promoter hypermethylation identifies progression risk in bladder cancer
DR Yates, I Rehman, MF Abbod, M Meuth, SS Cross, DA Linkens, ...
Clinical Cancer Research 13 (7), 2046-2053, 2007
A survey of fuzzy logic monitoring and control utilisation in medicine
M Mahfouf, MF Abbod, DA Linkens
Artificial intelligence in medicine 21 (1-3), 27-42, 2001
Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks
JWF Catto, DA Linkens, MF Abbod, M Chen, JL Burton, KM Feeley, ...
Clinical Cancer Research 9 (11), 4172-4177, 2003
Fuzzy logic-based anti-sway control design for overhead cranes
M Mahfouf, CH Kee, MF Abbod, DA Linkens
Neural Computing & Applications 9 (1), 38-43, 2000
Artificial immune systems-models, algorithms and applications
JR Al-Enezi, MF Abbod, S Alsharhan
Academic Research Publishing Agency, 2010
Classifiers consensus system approach for credit scoring
M Ala'raj, MF Abbod
Knowledge-Based Systems 104, 89-105, 2016
Statistical data mining and knowledge discovery
H Bozdogan
CRC Press, 2003
Multiresolution analysis using wavelet, ridgelet, and curvelet transforms for medical image segmentation
S AlZubi, N Islam, M Abbod
International journal of biomedical imaging 2011, 2011
Application of artificial intelligence to the management of urological cancer
MF Abbod, JWF Catto, DA Linkens, FC Hamdy
The Journal of urology 178 (4), 1150-1156, 2007
A new hybrid ensemble credit scoring model based on classifiers consensus system approach
M Ala'raj, MF Abbod
Expert Systems with Applications 64, 36-55, 2016
MANET routing protocols taxonomy
NH Saeed, MF Abbod, HS Al-Raweshidy
2012 International Conference on Future Communication Networks, 123-128, 2012
Application of multivariate empirical mode decomposition and sample entropy in EEG signals via artificial neural networks for interpreting depth of anesthesia
JR Huang, SZ Fan, MF Abbod, KK Jen, JF Wu, JS Shieh
Entropy 15 (9), 3325-3339, 2013
The application of artificial intelligence to microarray data: identification of a novel gene signature to identify bladder cancer progression
JWF Catto, MF Abbod, PJ Wild, DA Linkens, C Pilarsky, I Rehman, ...
European urology 57 (3), 398-406, 2010
Hybrid modelling of aluminium–magnesium alloys during thermomechanical processing in terms of physically-based, neuro-fuzzy and finite element models
Q Zhu, MF Abbod, J Talamantes-Silva, CM Sellars, DA Linkens, ...
Acta materialia 51 (17), 5051-5062, 2003
Analysis of EEG via multivariate empirical mode decomposition for depth of anesthesia based on sample entropy
Q Wei, Q Liu, SZ Fan, CW Lu, TY Lin, MF Abbod, JS Shieh
Entropy 15 (9), 3458-3470, 2013
Multivariate multiscale entropy applied to center of pressure signals analysis: an effect of vibration stimulation of shoes
Q Wei, DH Liu, KH Wang, Q Liu, MF Abbod, BC Jiang, KP Chen, C Wu, ...
Entropy 14 (11), 2157-2172, 2012
Self-organising fuzzy logic control and the selection of its scaling factors
DA Linkens, MF Abbod
Transactions of the Institute of Measurement and Control 14 (3), 114-125, 1992
Self-adaptive and self-organising control applied to nonlinear multivariable anaesthesia: a comparative model-based study
DA Linkens, M Mahfouf, M Abbod
IEE Proceedings D (Control Theory and Applications) 139 (4), 381-394, 1992
Survey on the use of smart and adaptive engineering systems in medicine
MF Abbod, DA Linkens, M Mahfouf, G Dounias
Artificial Intelligence in Medicine 26 (3), 179-209, 2002
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