Publications

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1997
Hassanien, A. E., and H. T. A. K. A. H. A. S. H. I. M. NAKAJIMA, "Image Metamorphosis based on Elastic Body Spline and Snake Model", 映像情報メディア学会技術報告, vol. 21, no. 42: 一般社団法人映像情報メディア学会, pp. 25–30, 1997. Abstract
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Hassanien, A. E., and M. Nakajima, "Image morphing with snake model and thin-plate spline interpolation", Voice, Video, and Data Communications: International Society for Optics and Photonics, pp. 407–416, 1997. Abstract
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1998
Hassanien, A. E., and M. Nakajima, "Image Morphing by using Thin Plate Spline Transformation and Snake Model", 電子情報通信学会技術研究報告. EID, 電子ディスプレイ, vol. 97, no. 527: 一般社団法人電子情報通信学会, pp. 43–48, 1998. Abstract
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Hassanien, A., and M. Nakajima, "Image morphing of facial images transformation based on navier elastic body splines", Computer Animation 98. Proceedings: IEEE, pp. 119–125, 1998. Abstract
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Aboul-Ella, H., and M. Nakajima, "Image metamorphosis transformation of facial images based on elastic body splines ", Signal Processing , issue Volume 70, Issue 2,, pp. 129–137 , 1998. Abstracts01651684.gifWebsite

In this paper, we propose a new image metamorphosis algorithm which uses elastic body splines to generate warp functions for interpolating scattered data points. The spline is based on a partial differential equation proposed by Navier that describes the equilibrium displacement of an elastic body subjected to forces. The spline maps can be expressed as the linear combination of an affine transformation and a Navier spline. The proposed algorithm generates a smooth warp that reflects feature point correspondences. It is efficient in time complexity and smoothly interpolated morphed images with only a remarkably small number of specified feature points. The algorithm allows each feature point in the source image to be mapped to the corresponding feature point in the destination image. Once the images are warped to align the positions of features and their shapes, the in-between facial animation from two given facial images can be defined by cross dissolving the positions of correspondence features and their shapes and colors. We describe an efficient cross-dissolve algorithm for generating the in-between images

Hassanien, A. E., and M. Nakajima:, "Image Morphing of Facial Images Transformation based on Navier Elastic Body Splines", IEEE Computer Animation (CA'98) , Philadelphia, Pennsylvania, USA,, 8-10 June,, 1998. Abstract

We propose an image morphing algorithm which uses Navier elastic body splines to generate warp functions for interpolating scattered data points. The spline is based on a partial differential equation proposed by Navier that describes the equilibrium displacement of an elastic body subjected to forces. The spline maps can be expressed as the linear combination of an affine transformation and a Navier interpolation spline. The proposed algorithm generates a smooth warp that reflects feature point correspondences. It is efficient in time complexity and smoothly interpolated morphed images with only a remarkably small number of specified feature points. The algorithm allows each feature point in the source image to be mapped to the corresponding feature point in the destination image. Once the images are warped to align the positions of features and their shapes, the in-between facial animation from two given facial images can be defined by cross dissolving the positions of correspondence features and their shapes and colors. We describe an efficient cross dissolve algorithm for generating the in-between images

2003
Hassanien, A. E., and J. M. H. Ali, "Image classification and retrieval algorithm based on rough set theory", South African Computer Journal, vol. 2003, no. 30: South African Computer Society (SAICSIT), pp. 9–16, 2003. Abstract
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Hassanien, A. E., "Intelligent data analysis of breast cancer based on rough set theory", International Journal on Artificial Intelligence Tools, vol. 12, no. 04: World Scientific Publishing Company, pp. 465–479, 2003. Abstract
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Ali, J. M. H., and A. E. Hassanien, "An iris recognition system to enhance e-security environment based on wavelet theory", AMO-Advanced Modeling and Optimization, vol. 5, no. 2, pp. 93–104, 2003. Abstract
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Ali, J. M., and A. E. Hassanien, "An Iris Recognition System to Enhance E-Security, Advanced Modeling and Optimization", vol, vol. 5, pp. 93–104, 2003. Abstract

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2009
Tobin, K. W., E. Chaum, J. Gregor, T. P. Karnowski, J. R. Price, and J. Wall, "Image Informatics for Clinical and Preclinical Biomedical Analysis", Computational Intelligence in Medical Imaging: Techniques and Applications: CRC Press, pp. 239, 2009. Abstract
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Hassanien, A. E., "Intelligence techniques for prostate ultrasound image analysis", International Journal of Hybrid Intelligent Systems, vol. 6, no. 3: IOS Press, pp. 155–167, 2009. Abstract
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Hassanien, A. E., "Intelligence techniques for prostate ultrasound image analysis", International Journal of Hybrid Intelligent Systems, vol. 6, no. 3: IOS Press, pp. 155–167, 2009. Abstract
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Hassanien, A. E., H. Al-Qaheri, G. Schaefer, and S. Banerjee, "Intelligent analysis of prostate ultrasound images", Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on: IEEE, pp. 263–268, 2009. Abstract
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Hassanien, A. E., H. Al-Qaheri, G. Schaefer, and S. Banerjee, "Intelligent analysis of prostate ultrasound images", Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on: IEEE, pp. 263–268, 2009. Abstract
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2010
Hassanien, A. E., "International Conference on Intelligent Systems Design and Applications (ISDA)", International Conference on Intelligent Systems Design and Applications (ISDA), Egypt, IEEE, 2010.
2011
El Emary, I. M. M., and A. E. Hassanien, "Intelligent agent in telecommunication systems", Telecommunication Systems, vol. 46, no. 3: Springer, pp. 191–193, 2011. Abstract
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El Emary, I. M. M., and A. E. Hassanien, "Intelligent agent in telecommunication systems", Telecommunication Systems, vol. 46, no. 3: Springer, pp. 191–193, 2011. Abstract
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Salama, M. A., N. El-Bendary, A. E. Hassanien, K. Revett, and A. A. Fahmy, "Interval-based attribute evaluation algorithm", Computer Science and Information Systems (FedCSIS), 2011 Federated Conference on: IEEE, pp. 153–156, 2011. Abstract
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Salama, M. A., N. El-Bendary, A. E. Hassanien, K. Revett, and A. A. Fahmy, "Interval-based attribute evaluation algorithm", Computer Science and Information Systems (FedCSIS), 2011 Federated Conference on: IEEE, pp. 153–156, 2011. Abstract
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Hassanien, A. E., "Intelligent Hybrid Anomaly Network Intrusion Detection System.", Communication and Networking-International Conference, FGCN 2011, 2011. Abstract

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Hassanien, A. E., "Intelligent Hybrid Anomaly Network Intrusion Detection System.", Communication and Networking - International Conference, FGCN 2011, Jeju Island, Korea, 8-10 December, 2011. Abstract

Intrusion detection systems (IDSs) is an essential key for network defense. The hybrid intrusion detection system combines the individual base classifiers and feature selection algorithm to maximize detection accuracy and minimize computational complexity. We investigated the performance of Genetic algorithm-based feature selection system to reduce the data features space and then the hidden naïve bays (HNB) system were adapted to classify the network intrusion into five outcomes: normal, and four anomaly types including denial of service, user-to-root, remote-to-local, and probing. In order to evaluate the performance of introduced hybrid intrusion system, several groups of experiments are conducted and demonstrated on NSL-KDD dataset. Moreover, the performances of intelligent hybrid intrusion system have been compared with the results of well-known feature selection algorithms. It is found that, hybrid intrusion system produces consistently better performances on selecting the subsets of features which resulting better classification accuracies (98.63%).

2012
Hamdy, A., H. Hefny, M. A. Salama, A. E. Hassanien, and T. - H. Kim, "The importance of handling multivariate attributes in the identification of heart valve diseases using heart signals", Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on: IEEE, pp. 75–79, 2012. Abstract
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Hamdy, A., H. Hefny, M. A. Salama, A. E. Hassanien, and T. - H. Kim, "The importance of handling multivariate attributes in the identification of heart valve diseases using heart signals", Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on: IEEE, pp. 75–79, 2012. Abstract
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Hamdy, A., H. Hefny, M. A. Salama, A. E. Hassanien, and T. - H. Kim, "The importance of handling multivariate attributes in the identification of heart valve diseases using heart signals", Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on: IEEE, pp. 75–79, 2012. Abstract
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