Publications

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2001
Hassanien, A. E., I. El Henawy, and H. S. Own, "Multiresolution image denoising based on wavelet transform", International Symposium on Optical Science and Technology: International Society for Optics and Photonics, pp. 383–394, 2001. Abstract
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Hassanien, A. E., I. El Henawy, and H. S. Own, "Multiresolution image denoising based on wavelet transform", International Symposium on Optical Science and Technology: International Society for Optics and Photonics, pp. 383–394, 2001. Abstract
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Hassanien, A. E., I. El Henawy, and H. Own, "Multiresolution image denosing based on wavelet transform", Machine Graphics and Vision, vol. 10, no. 2, pp. 221–230, 2001. Abstract
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2004
Helal, M. A., T. El-Arief, A. E. Hassanien, and N. El-Haggar, "An Efficient Texture Segmentation Algorithm for Isolating Iris Patterns Based on Wavelet Theory", PATTERN RECOGNITION AND IMAGE ANALYSIS C/C OF RASPOZNAVANIYE OBRAZOV I ANALIZ IZOBRAZHENII, vol. 14, no. 1: NAUKA/INTERPERIODICA PUBLISHING, pp. 97–103, 2004. Abstract
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2005
Egiazarian, K., and A. E. Hassanien, "Editorial: special issue on soft computing in multimedia processing", Informatica, vol. 29, no. 3: Slovenian Society Informatika, pp. 251–253, 2005. Abstract
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Egiazarian, K., and A. E. Hassanien, "Editorial: special issue on soft computing in multimedia processing", Informatica, vol. 29, no. 3: Slovenian Society Informatika, pp. 251–253, 2005. Abstract
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Egiazarian, K., and A. E. Hassanien, "Special Issue: Soft Computing in Multimedia Processing", Informatica, vol. 29, issue 3, 2005. Abstractspecial_issue_soft_computing_in_multimedia_process.pdf

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2007
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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Ella Hassanien, A., M. E. Abdelhafez, and H. S. Own, "Rough set analysis in knowledge discovery: a case of Kuwaiti diabetic children patients", Advances in Fuzzy Systems, pp. 1–13, 2007. Abstract
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2008
El-Hosseini, M. A., A. E. Hassanien, A. Abraham, and H. Al-Qaheri, "Cultural-Based Genetic Algorithm: Design and Real World Applications", Intelligent Systems Design and Applications, 2008. ISDA'08. Eighth International Conference on, vol. 3: IEEE, pp. 488–493, 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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El-Hosseini, M. A., A. E. Hassanien, A. Abraham, and H. Al-Qaheri, "Cultural-Based Genetic Algorithm: Design and Real World Applications. ", Eighth International Conference on Intelligent Systems Design and Applications, ISDA 2008, Kaohsiung, Taiwan, pp.488-493 , 26-28 November, 2008. Abstract

Due to their excellent performance in solving combinatorial optimization problems, metaheuristics algorithms such as Genetic Algorithms GA [35], [18], [5], Simulated Annealing SA [34], [13] and Tabu Search TS make up another class of search methods that has been adopted to efficiently solve dynamic optimization problem. Most of these methods are confined to the population space and in addition the solutions of nonlinear problems become quite difficult especially when they are heavily constrained. They do not make full use of the historical information and lack prediction about the search space. Besides the knowledge that individuals inherited "genetic code" from their ancestors, there is another component called Culture. In this paper, a novel culture-based GA algorithm is proposed and is tested against multidimensional and highly nonlinear real world applications.

El-Hosseini, M. A., A. E. Hassanien, A. Abraham, and H. Al-Qaheri, " Genetic Annealing Optimization: Design and Real World Applications.", Eighth International Conference on Intelligent Systems Design and Applications, ISDA 2008, , Kaohsiung, Taiwan,, 26-28 November , 2008. Abstract

Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA maintains a large population of solutions, which are optimized simultaneously. Thus, the genetic algorithm takes advantage of the experience gained in the past exploration of the solution space. Since SA operates on one solution at a time, it has very little history to use in learning from past trials. SA has the ability to escape from any local point; even it is a global optimization technique. On the other hand, there is no guarantee that the GA algorithm will succeeded in escaping from any local minima, thus it makes sense to hybridize the genetic algorithm and the simulated annealing technique. In this paper, a novel genetically annealed algorithm is proposed and is tested against multidimensional and highly nonlinear cases; Fed-batch fermentor for Penicillin production, and isothermal continuous stirred tank reactor CSTR. It is evident from the results that the proposed algorithm gives good performance.

2009
Abraham, A., A. - E. Hassanien, P. Siarry, and A. Engelbrecht, Foundations of Computational Intelligence Volume 3: Global Optimization, : Springer, 2009. Abstract
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Abraham, A., A. - E. Hassanien, P. Siarry, and A. Engelbrecht, Foundations of Computational Intelligence Volume 3: Global Optimization, : Springer, 2009. Abstract
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Abraham, A., A. - E. Hassanien, P. Siarry, and A. Engelbrecht, Foundations of Computational Intelligence Volume 3: Global Optimization, : Springer, 2009. Abstract
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El Emary, I., and A. - E. Hassanien, "Guest editorial special issue on intelligent multimedia computing", Telecommunication Systems, vol. 40, no. 1: Springer, pp. 1–4, 2009. Abstract
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El Emary, I., and A. - E. Hassanien, "Guest editorial special issue on intelligent multimedia computing", Telecommunication Systems, vol. 40, no. 1: Springer, pp. 1–4, 2009. Abstract
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El-Dahshan, E. - S. A., A. E. Hassanien, A. Radi, and S. Banerjee, "Ultrasound biomicroscopy glaucoma images analysis based on rough set and pulse coupled neural network", Foundations of Computational Intelligence Volume 2: Springer Berlin Heidelberg, pp. 275–293, 2009. Abstract
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El-Dahshan, E. - S. A., A. E. Hassanien, A. Radi, and S. Banerjee, "Ultrasound biomicroscopy glaucoma images analysis based on rough set and pulse coupled neural network", Foundations of Computational Intelligence Volume 2: Springer Berlin Heidelberg, pp. 275–293, 2009. Abstract
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El-Dahshan, E. - S. A., A. E. Hassanien, A. Radi, and S. Banerjee, "Ultrasound Biomicroscopy Glaucoma Images Analysis Based on Rough Set and Pulse Coupled Neural Network", Foundations of Computational Intelligence, Volume 2, pp. 275-293 , London, Springer , 2009. Abstract

The objective of this book chapter is to present the rough sets and pulse coupled neural network scheme for Ultrasound Biomicroscopy glaucoma images analysis. To increase the efficiency of the introduced scheme, an intensity adjustment process is applied first using the Pulse Coupled Neural Network (PCNN) with a median filter. This is followed by applying the PCNN-based segmentation algorithm to detect the boundary of the interior chamber of the eye image. Then, glaucoma clinical parameters have been calculated and normalized, followed by application of a rough set analysis to discover the dependency between the parameters and to generate set of reduct that contains minimal number of attributes. Finally, a rough confusion matrix is designed for discrimination to test whether they are normal or glaucomatous eyes. Experimental results show that the introduced scheme is very successful and has high detection accuracy.

2010
El-Bendary, N., H. M. Zawbaa, M. S. Daoud, A. E. Hassanien, and K. Nakamatsu, "ArSLAT: Arabic sign language alphabets translator", Computer Information Systems and Industrial Management Applications (CISIM), 2010 International Conference on: IEEE, pp. 590–595, 2010. Abstract
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