Publications

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2011
Hassanien, A. E., H. Sakai, D. Slezak, M. K. Chakraborty, and W. Zhu, "Special issue: Rough and Fuzzy Methods for Data Mining", International Journal of Hybrid Intelligent Systems, vol. 8, no. 1, pp. 1, 2011. Abstract
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Hassanien, A. E., H. Sakai, D. Slezak, M. K. Chakraborty, and W. Zhu, "Special issue: Rough and Fuzzy Methods for Data Mining", International Journal of Hybrid Intelligent Systems, vol. 8, no. 1, pp. 1, 2011. Abstract
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El Bakrawy, L. M., N. I. Ghali, A. E. Hassanien, and J. F. Peters, "Strict authentication of multimodal biometric images using near sets", Soft Computing in Industrial Applications: Springer Berlin Heidelberg, pp. 249–258, 2011. Abstract
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El Bakrawy, L. M., N. I. Ghali, A. E. Hassanien, and J. F. Peters, "Strict authentication of multimodal biometric images using near sets", Soft Computing in Industrial Applications: Springer Berlin Heidelberg, pp. 249–258, 2011. Abstract
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Zawbaa, H. M., N. El-Bendary, A. E. Hassanien, and A. Abraham, "SVM-based soccer video summarization system", Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on: IEEE, pp. 7–11, 2011. Abstract
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Zawbaa, H. M., N. El-Bendary, A. E. Hassanien, and A. Abraham, "SVM-based soccer video summarization system", Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on: IEEE, pp. 7–11, 2011. Abstract
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KAMAL, K. A. R. E. E. M., A. GHANY, M. A. Moneim, N. I. Ghali, A. E. Hassanien, and H. A. Hefny, A symmetric bio-hash function based on fingerprint minutiae and principal curves approach, , 2011. Abstract
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KAMAL, K. A. R. E. E. M., A. GHANY, M. A. Moneim, N. I. Ghali, A. E. Hassanien, and H. A. Hefny, A symmetric bio-hash function based on fingerprint minutiae and principal curves approach, , 2011. Abstract
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Salama, M. A., N. El-Bendary, and A. E. Hassanien, "Towards secure mobile agent based e-cash system", Proceedings of the First International Workshop on Security and Privacy Preserving in e-Societies: ACM, pp. 1–6, 2011. Abstract
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Salama, M. A., N. El-Bendary, and A. E. Hassanien, "Towards secure mobile agent based e-cash system", Proceedings of the First International Workshop on Security and Privacy Preserving in e-Societies: ACM, pp. 1–6, 2011. Abstract
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Darwish, A., and A. E. Hassanien, "Wearable and implantable wireless sensor network solutions for healthcare monitoring", Sensors, vol. 11, no. 6: Molecular Diversity Preservation International, pp. 5561–5595, 2011. Abstract
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Darwish, A., and A. E. Hassanien, "Wearable and implantable wireless sensor network solutions for healthcare monitoring", Sensors, vol. 11, no. 6: Molecular Diversity Preservation International, pp. 5561–5595, 2011. Abstract
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2010
Salama, M., A. E. Hassanien, and A. A. Fahmy, "Pattern-based Subspace Classification Approach", The Second IEEE World Congress on Nature and Biologically Inspired Computing (NaBIC2010), Kitakyushu- Japan, 15 Dec, 2010. Abstract

The use of patterns in predictive models has received a lot of attention in recent years. This paper presents a pattern-based classification model which extracts the patterns that have similarity among all objects in a specific class. This introduced model handles the problem of the dependence on a user-defined threshold that appears in the pattern-based subspace clustering. The experimental results obtained, show that the overall pattern-based classification accuracy is high compared with other machine learning techniques including Support vector machine, Bayesian Network, multi-layer perception and decision trees.

Hassanien, A. - E., Computational Social Networks Analysis, , London, Computer Communications and Networks Series - Springer, 2010. AbstractWebsite

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems.

Hassanien, A. E., Developing Advanced Web Services Through P2P Computing And Autonomous Agents: Trends And Innovations, , USA, IGI-Global USA, 2010. AbstractWebsite

In recent years, the development of distributed systems, in particular the Internet, has been influenced heavily by three paradigms: peer-to-peer, autonomous agents, and service orientation. Developing Advanced Web Services through P2P Computing and Autonomous Agents: Trends and Innovations establishes an understanding of autonomous peer-to-peer Web Service models and developments as well as extends growing literature on emerging technologies. This scholarly publication is an important reference for researchers and academics working in the fields of peer-to-peer computing, Web and grid services, and agent technologies.

Hassanien, A. - E., Emergent Web Intelligence: Advanced Information Retrieval, , London, Advanced Information and Knowledge Processing - Springer Verlag, 2010. AbstractWebsite

World Wide Web (WWW) provides interlinked hypertext documents (Web pages) that may contain text, images, videos, and other multimedia. WWW is growing at a remarkable rate and finding appropriate information can therefore be challenging. Web information retrieval deals with the search for documents, for information within documents and for metadata about documents, as well as that of searching databases in the WWW. Web information retrieval is an interdisciplinary science and deals with this challenge by exploiting various information technologies and computational intelligence approaches to design the next generation of web-information retrieval technologies. This Volume provides reviews of cutting-edge technologies and insights into various topics related to XML-based and multimedia information access and retrieval under the umbrella of Web Intelligence, it also illustrates how organizations can gain competitive advantages by applying new techniques in real-world scenarios. The 18 chapters are arranged in three parts and have identified several important problem formulations in the area of Web and multimedia information querying, modelling user interactions and advanced information security and access control models. Chapters are authored by reputed scientists in the field and all articles are self-contained to provide the greatest reading flexibility.

Hassanien, A. - E., Emergent Web Intelligence: Advanced Semantic Technologies, , London, Advanced Information and Knowledge Processing - Springer Verlag, 2010. AbstractWebsite

This book presents cutting-edge research in the field of semantic technologies. Its seventeen chapters are arranged into four parts and identify interdisciplinary challenges in the areas of the Semantic Web, artificial intelligence, and knowledge-based services. The chapters provide analysis and insight into semantic Web techniques and are authored by reputable scientists in the field. All articles are self-contained to provide the greatest reading flexibility and aim to serve as a reference for researchers in the Semantic Web community.

Hassanien, A. E., "International Conference on Intelligent Systems Design and Applications (ISDA)", International Conference on Intelligent Systems Design and Applications (ISDA), Egypt, IEEE, 2010.
Hassanien, A. E., Machine Learning Techniques for Prostate Ultrasound Image Diagnosis, , German, Studies in Computational Intelligence - Springer, 2010. Abstract

Estimation of prostate location and volume is essential in determining a dose plan for ultrasound-guided brachytherapy, a common prostate cancer treatment. However, manual segmentation is difficult, time consuming and prone to variability. In this chapter, we present a machine learning scheme, employing a combination of fuzzy sets, wavelets and rough sets, for analyzing prostrate ultrasound images in order diagnose prostate cancer. To address the image noise problem we first utilize an algorithm based on type-II fuzzy sets to enhance the contrast of the ultrasound image. This is followed by performing a modified fuzzy c-mean clustering algorithm in order to detect the boundary of the prostate pattern. Then, a wavelet features are extracted and normalized, followed by application of a rough set analysis for discrimination of different regions of interest to determine whether they represent cancer or not. The experimental results obtained, show that the overall classification accuracy offered by the employed rough set approach is high compared with other machine learning techniques including decision trees, discriminant analysis, rough neural networks, and neural networks.

Hassanien, A. E., Pervasive Computing : Innovations in Intelligent Multimedia and Applications, , London, Computer Communications and Networks - Springer , 2010. AbstractWebsite

Pervasive computing (also referred to as ubiquitous computing or ambient intelligence) aims to create environments where computers are invisibly and seamlessly integrated and connected into our everyday environment. Pervasive computing and intelligent multimedia technologies are becoming increasingly important, although many potential applications have not yet been fully realized. These key technologies are creating a multimedia revolution that will have significant impact across a wide spectrum of consumer, business, healthcare, and governmental domains.

Hassanien, A. E., A. Abraham, F. Marcelloni, H. Hagras, M. Antonelli, and T. - P. Hong, 2010 10th International Conference on Intelligent Systems Design and Applications, , 2010. Abstract
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Hassanien, A. E., A. Abraham, F. Marcelloni, H. Hagras, M. Antonelli, and T. - P. Hong, 2010 10th International Conference on Intelligent Systems Design and Applications, , 2010. Abstract
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Hassanien, A. E., A. Abraham, F. Marcelloni, H. Hagras, M. Antonelli, and T. - P. Hong, 2010 10th InternaƟonal Conference on, , 2010. Abstract
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Hassanien, A. E., A. Abraham, F. Marcelloni, H. Hagras, M. Antonelli, and T. - P. Hong, 2010 10th InternaƟonal Conference on, , 2010. Abstract
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Hossam, M. M., A. E. Hassanien, and M. Shoman, "3D brain tumor segmentation scheme using K-mean clustering and connected component labeling algorithms", Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on: IEEE, pp. 320–324, 2010. Abstract
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