Publications

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2008
Al-Qaheri, H., A. E. Hassanien, and A. Abraham, "Discovering stock price prediction rules using rough sets", Neural Network World, vol. 18, no. 3: Institute of Computer Science, pp. 181, 2008. Abstract
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El-Hosseini, M. A., A. E. Hassanien, A. Abraham, and H. Al-Qaheri, "Genetic annealing optimization: Design and real world applications", Intelligent Systems Design and Applications, 2008. ISDA'08. Eighth International Conference on, vol. 1: IEEE, pp. 183–188, 2008. Abstract
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El-Hosseini, M. A., A. E. Hassanien, A. Abraham, and H. Al-Qaheri, "Genetic annealing optimization: Design and real world applications", Intelligent Systems Design and Applications, 2008. ISDA'08. Eighth International Conference on, vol. 1: IEEE, pp. 183–188, 2008. Abstract
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Hassanien, A. E., A. Abraham, J. F. Peters, and G. Schaefer, "An overview of rough-hybrid approaches in image processing", Fuzzy Systems, 2008. FUZZ-IEEE 2008.(IEEE World Congress on Computational Intelligence). IEEE International Conference on: IEEE, pp. 2135–2142, 2008. Abstract
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Hassanien, A. E., A. Abraham, J. F. Peters, and G. Schaefer, "An overview of rough-hybrid approaches in image processing", Fuzzy Systems, 2008. FUZZ-IEEE 2008.(IEEE World Congress on Computational Intelligence). IEEE International Conference on: IEEE, pp. 2135–2142, 2008. Abstract
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Hassanien, A. E., and A. Abraham, "Rough Morphology Hybrid Approach for Mammography Image Classification and Prediction", International Journal of Computational Intelligence and Applications, vol. 7, no. 01: Imperial College Press, pp. 17–42, 2008. Abstract
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Hassanien, A. E., and A. Abraham, "Rough Morphology Hybrid Approach for Mammography Image Classification and Prediction", International Journal of Computational Intelligence and Applications, vol. 7, no. 01: Imperial College Press, pp. 17–42, 2008. Abstract
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Al-Qaheri, H., S. Zamoon, A. E. Hassanien, and A. Abraham, "Rough set generating prediction rules for stock price movement", Computer Modeling and Simulation, 2008. EMS'08. Second UKSIM European Symposium on: IEEE, pp. 111–116, 2008. Abstract
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Al-Qaheri, H., S. Zamoon, A. E. Hassanien, and A. Abraham, "Rough set generating prediction rules for stock price movement", Computer Modeling and Simulation, 2008. EMS'08. Second UKSIM European Symposium on: IEEE, pp. 111–116, 2008. Abstract
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Hassanien, A. E., M. E. Abdelhafez, and H. S. Own, "Rough sets data analysis in knowledge discovery: A case of kuwaiti diabetic children patients", Advances in fuzzy Systems, vol. 8: Hindawi Publishing Corp., pp. 2, 2008. Abstract
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Hassanien, A. E., M. E. Abdelhafez, and H. S. Own, "Rough sets data analysis in knowledge discovery: A case of kuwaiti diabetic children patients", Advances in fuzzy Systems, vol. 8: Hindawi Publishing Corp., pp. 2, 2008. Abstract
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Hassanien, A. E., A. Abraham, J. F. Peters, and J. Kacprzyk, "Rough sets in medical imaging: foundations and trends", Computational Intelligence in Medical Imaging: Techniques and Applications, pp. 47–87, 2008. Abstract
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Hassanien, A. E., A. Abraham, J. F. Peters, and J. Kacprzyk, "Rough sets in medical imaging: foundations and trends", Computational Intelligence in Medical Imaging: Techniques and Applications, pp. 47–87, 2008. Abstract
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Hassanien, A. E., A. Abraham, J. F. Peters, and J. Kacprzyk, "Rough sets in medical imaging: foundations and trends", Computational Intelligence in Medical Imaging: Techniques and Applications, pp. 47–87, 2008. Abstract
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Own, H. S., and A. E. Hassanien, "Rough wavelet hybrid image classification scheme", Journal of Convergence Information Technology, vol. 3, no. 4, pp. 65–75, 2008. Abstract
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Own, H. S., and A. E. Hassanien, "Rough wavelet hybrid image classification scheme", Journal of Convergence Information Technology, vol. 3, no. 4, pp. 65–75, 2008. Abstract
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Own, H. S., and A. E. Hassanien, "Rough wavelet hybrid image classification scheme", Journal of Convergence Information Technology, vol. 3, no. 4, pp. 65–75, 2008. Abstract
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2007
Xiao, K., S. H. Ho, A. E. Hassanien, V. N. Du, and Q. Salih, " Fuzzy C-means clustering with adjustable feature weighting distribution for brain MRI ventricles segmentation. ", SIP 2007: 466-471, Honolulu, Hawaii, USA, August 20-22, 2007.
Hassanien, A. E., "Fuzzy rough sets hybrid scheme for breast cancer detection", Image and Vision Computing, vol. 25, issue 2, pp. 172–183, 2007. AbstractWebsite

This paper introduces a hybrid scheme that combines the advantages of fuzzy sets and rough sets in conjunction with statistical feature extraction techniques. An application of breast cancer imaging has been chosen and hybridization scheme have been applied to see their ability and accuracy to classify the breast cancer images into two outcomes: cancer or non-cancer. The introduced scheme starts with fuzzy image processing as pre-processing techniques to enhance the contrast of the whole image; to extracts the region of interest and then to enhance the edges surrounding the region of interest. A subsequently extract features from the segmented regions of the interested regions using the gray-level co-occurrence matrix is presented. Rough sets approach for generation of all reducts that contains minimal number of attributes and rules is introduced. Finally, these rules can then be passed to a classifier for discrimination for different regions of interest to test whether they are cancer or non-cancer. To measure the similarity, a new rough set distance function is presented. The experimental results show that the hybrid scheme applied in this study perform well reaching over 98% in overall accuracy with minimal number of generated rules. (This paper was not presented at any IFAC meeting).

El-dahshan, E., A. Redi, A. E. Hassanien, and K. Xiao, "Accurate detection of prostate boundary in ultrasound images using biologically-inspired spiking neural network", Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on: IEEE, pp. 308–311, 2007. Abstract
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El-dahshan, E., A. Redi, A. E. Hassanien, and K. Xiao, "Accurate detection of prostate boundary in ultrasound images using biologically-inspired spiking neural network", Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on: IEEE, pp. 308–311, 2007. Abstract
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El-dahshan, E., A. Redi, A. E. Hassanien, and K. Xiao, "Accurate detection of prostate boundary in ultrasound images using biologically-inspired spiking neural network", Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on: IEEE, pp. 308–311, 2007. Abstract
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Xiao, K., S. H. Ho, and A. E. Hassanien, "Brain magnetic resonance image lateral ventricles deformation analysis and tumor prediction", Malaysian Journal of Computer Science, vol. 20, no. 2: Faculty of Computer Science and Information Technology, pp. 115, 2007. Abstract
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