Publications

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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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Fattah, M. A., N. El-Bendary, M. A. A. ELsoud, A. E. Hassanien, and M. F. Tolba, "An intelligent approach for galaxies images classification", Hybrid Intelligent Systems (HIS), 2013 13th International Conference on: IEEE, pp. 167–172, 2013. Abstract
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Fattah, M. A., N. Elbendary, M. A. Elsoud, H. Aboul Ella, and M. Tolba, "An Intelligent Approach for Galaxies Images Classification.", 13th IEEE International Conference on Hybrid Intelligent Systems (HIS13) Tunisia, pp. 168-173, 2013, Tunisia, , 4-6 Dec., 2013.
Fattah, M. A., N. Elbendary, M. A. Elsoud, H. Aboul Ella, and M. Tolba, "An Intelligent Approach for Galaxies Images Classification.", 13th IEEE International Conference on Hybrid Intelligent Systems (HIS13) Tunisia, pp. 168-173, 2013, Tunisia, , 4-6 Dec., 2013.
Alaa Tharwat, M. Elhoseny, A. E. Hassanien, and T. G. A. and Kumar, "Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm", Cluster Computing, 2018. Abstract

Path planning algorithms have been used in different applications with the aim of finding a suitable collision-free path which satisfies some certain criteria such as the shortest path length and smoothness; thus, defining a suitable curve to describe path is essential. The main goal of these algorithms is to find the shortest and smooth path between the starting and target points. This paper makes use of a Bézier curve-based model for path planning. The control points of the Bézier curve significantly influence the length and smoothness of the path. In this paper, a novel Chaotic Particle Swarm Optimization (CPSO) algorithm has been proposed to optimize the control points of Bézier curve, and the proposed algorithm comes in two variants: CPSO-I and CPSO-II. Using the chosen control points, the optimum smooth path that minimizes the total distance between the starting and ending points is selected. To evaluate the CPSO algorithm, the results of the CPSO-I and CPSO-II algorithms are compared with the standard PSO algorithm. The experimental results proved that the proposed algorithm is capable of finding the optimal path. Moreover, the CPSO algorithm was tested against different numbers of control points and obstacles, and the CPSO algorithm achieved competitive results.

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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Eid, H. F., A. Darwish, A. E. Hassanien, and T. - H. Kim, "Intelligent hybrid anomaly network intrusion detection system", Communication and networking: Springer Berlin Heidelberg, pp. 209–218, 2012. Abstract
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Eid, H. F., A. Darwish, A. E. Hassanien, and T. - H. Kim, "Intelligent hybrid anomaly network intrusion detection system", Communication and networking: Springer Berlin Heidelberg, pp. 209–218, 2012. 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%).

Hassanien, A. E., "Intelligent Hybrid Anomaly Network Intrusion Detection System.", Communication and Networking-International Conference, FGCN 2011, 2011. Abstract

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Kareem Kamal A.Ghany, and A. E. Hassanien, An Intelligent Hybrid Biometrics System, , Cairo, EGYPT , Cairo University , 2014. thesis_presentation.pdf
El Bakrawy, L. M., N. I. Ghali, and A. E. Hassanien, "Intelligent Machine Learning in Image Authentication", Journal of Signal Processing Systems, vol. 78, no. 2: Springer US, pp. 223–237, 2015. Abstract
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Lamiaa M. El Bakrawy, N. I.Ghali, and A. E. Hassanien, "Intelligent Machine Learning in Image Authentication.", signal processing system, vol. 78, issue 2, pp. 223-237 , 2015. Website
Mahmood, M. A., N. El-Bendary, Jan Platoš, A. E. Hassanien, and H. A. Hefny, "An Intelligent Multi-agent Recommender System", Innovations in Bio-inspired Computing and Applications: Springer International Publishing, pp. 201–213, 2014. Abstract
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Mahmood, M. A., N. El-Bendary, A. E. Hassanien, and H. A. Hefny, "An Intelligent Multi-Agent Recommender System using Rough Mereology", In Proceedings of the 4th International Conference on Innovations in Bio-inspired Computing and Applications. Advances in Intelligent Systems and Computing (Springer) Volume 237, pp 201-213, 2013. Abstract

This article presents a Multi-Agent approach for handling the problem of recommendation. The proposed system works via two main agents; namely, the matching agent and the recommendation agent. Experimental results showed that the proposed rough mereology based Multi-agent system for solving the recommendation problem is scalable and has possibilities for future modification and adaptability to other problem domains. Moreover, it succeeded in reducing the information overload while recommending relevant decisions to users. The system achieved high accuracy in ranking using users profile and information system profiles. The resulted value of the Mean Absolute Error (MAE) is acceptable compared to other recommender systems applied other computational intelligence approaches.

Mahmood A. Mahmood, N. El-Bendary, Jan Platoš, A. E. Hassanien, and H. A. Hefny, "An Intelligent Multi-agent Recommender System. ", Innovations in Bio-inspired Computing and Applications. Advances in Intelligent Systems and Computing(Springer) , Czech republic , 2013.
Mahmoud, S., N. El-Bendary, M. A. Mahmood, and A. E. Hassanien, "An Intelligent Recommender system for drinking water quality", . 13th IEEE International Conference on Hybrid Intelligent Systems |(HIS13) . pp. 286-291, 2013, Tunisia, , 4-6 Dec, 2013.
Mahmoud, S., N. El-Bendary, M. A. Mahmood, and A. E. Hassanien, "An intelligent recommender system for drinking water quality", Hybrid Intelligent Systems (HIS), 2013 13th International Conference on: IEEE, pp. 285–290, 2013. Abstract
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Fouad, M. M., M. A. Mahmood, H. Mahmoud, Adham Mohamed, and A. E. Hassanien, "Intelligent road surface quality evaluation using rough mereology", Hybrid Intelligent Systems (HIS), 2014 14th International Conference on: IEEE, pp. 18–22, 2014. Abstract
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Kacprzyk, J., and L. C. Jain, Intelligent Systems Reference Library, Volume 26, , 2012. Abstract
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Kacprzyk, J., and L. C. Jain, Intelligent Systems Reference Library, Volume 26, , 2012. Abstract
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El-Said, S. A., H. M. A. Atta, and A. E. Hassanien, "Interactive soft tissue modelling for virtual reality surgery simulation and planning", International Journal of Computer Aided Engineering and Technology, vol. 9, no. 1: Inderscience Publishers (IEL), pp. 38–61, 2017. Abstract
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Hassanien, A. E., "International Conference on Intelligent Systems Design and Applications (ISDA)", International Conference on Intelligent Systems Design and Applications (ISDA), Egypt, IEEE, 2010.
Sayed, G. I., and A. E. Hassanien, "Interphase cells removal from metaphase chromosome images based on meta-heuristic grey wolf optimizer", IEEE iInternational Computer Engineering Conference - ICENCO , Cairo, 30 Dec, 2015.