Publications

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Book
Barrada, A. M., M. Y. Hassan, and A. A. M. Kader, Housing Development for Industry, , Lebanon , Beirut Arab Uniiversity, 1970. housing_book.pdf
Dix, A., J. Finlay, G. Abowd, and R. Beale, Human-{Computer} {Interaction}, , London, Pearson Education, 1997. Abstract
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Nabil, E., A. Badr, and M. A. Azim, Hybrid Artificial Immune System: Applications on Breast Cancer Diagnosis and Pattern Recognition, : LAP LAMBERT Academic Publishing, 2015. Abstract

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Nabil, E., A. Badr, and M. A. Azim, Hybrid Artificial Immune System: Applications on Breast Cancer Diagnosis and Pattern Recognition, : LAP LAMBERT Academic Publishing, 2015. Abstract

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Bakr, M., and A. Elsharabasy, iCEER2014-McMaster Digest, : Mohamed Bakr and Ahmed Elsharabasy, 2014. Abstract
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Omara, M., A. Badr, and E. Nabil, Immunoinformatics: A New Technique for MHC Class-II Epitope Prediction, : LAP LAMBERT Academic Publishing, 2015. Abstract

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Burgess, R. G., In the {Field} - {An} {Introduction} to {Field} {Research}, , vol. 8, London, Routledge, 1984. Abstract
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Bahgaat, N. K., M. Ibrahim, M. A. M. Hassan, and F. Bendary, "Load frequency control based on modern techniques in two areas power systems", Advances in System Dynamics and Control, pp. 163-191, 2018. AbstractWebsite
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Bahgaat, N. K., M. A. M. Hassan, M. I. El-Sayed, and F. A. Bendary, "Load frequency control in power system via improving PID controller based on particle swarm optimization and ANFIS techniques", Research Methods: Concepts, Methodologies, Tools, and Applications, vol. 1-4, pp. 462-481, 2015. AbstractWebsite
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Abdel Aziz, M. S. E. - D. A., M. A. M. Hassan, and F. Bendary, "Loss of excitation protection of medium voltage hydro generators using adaptive neuro fuzzy inference system", Advances in System Dynamics and Control, pp. 253-285, 2018. AbstractWebsite
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Belov, O. V., M. S. Panina, M. Batmunkh, and N. Sweilam, "Mathematical modeling of the DNA double-strand break repair in mammalian and human cells", Genetics, Evolution and Radiation: Crossing Borders, The Interdisciplinary Legacy of Nikolay W. Timofeeff-Ressovsky, pp. 169-174, 2017. AbstractWebsite
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Belov, O. V., M. S. Panina, M. Batmunkh, and N. Sweilam, "Mathematical modeling of the DNA double-strand break repair in mammalian and human cells", Genetics, Evolution and Radiation: Crossing Borders, The Interdisciplinary Legacy of Nikolay W. Timofeeff-Ressovsky, pp. 169-174, 2017. AbstractWebsite
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Belov, O. V., M. S. Panina, M. Batmunkh, and N. Sweilam, "Mathematical modeling of the DNA double-strand break repair in mammalian and human cells", Genetics, Evolution and Radiation: Crossing Borders, The Interdisciplinary Legacy of Nikolay W. Timofeeff-Ressovsky, pp. 169-174, 2017. AbstractWebsite
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Dey, N., V. Bhateja, and A. E. Hassanien, Medical Imaging in Clinical Applications: Algorithmic and Computer-Based Approaches, , Germany , Springer, 2016. images_1.jpgWebsite
Nabil, E., and A. Badr, Membrane Computing In Optimization, , Germany, LAP LAMBERT Academic Publishing, 2014. AbstractWebsite

Membrane Computing (P Systems) is an emergent and promising branch of Natural Computing. Designing P Systems is a heavy difficult problem. Until now there is no tool exists that can help in designing of P systems. This book shows how to use clonal selection algorithm with adaptive mutation in the design of P systems. In Addition the book proposes a Membrane-Immune algorithm that is inspired from the structure of living cells and the vertebrate immune system. The algorithm is tested by solving the Multiple Zero/One Knapsack Problem. The Membrane-Immune algorithm surpassed two variants of genetic algorithms that solved the same problem. The Membrane-Immune algorithm is also applied to generate a fuzzy rule based system to be used in breast cancer diagnosis. Generating a fuzzy rule system composes an exponential search space, which leads to the area of NP-complete problems. The algorithm is compared with five techniques and surpassed them. Last chapter presents a proposal of P Systems implementation using Cloud Computing. The proposed Implementation is illustrated by solving SAT problem.

Nabil, E., and A. Badr, Membrane Computing In Optimization, , Germany, LAP LAMBERT Academic Publishing, 2014. AbstractWebsite

Membrane Computing (P Systems) is an emergent and promising branch of Natural Computing. Designing P Systems is a heavy difficult problem. Until now there is no tool exists that can help in designing of P systems. This book shows how to use clonal selection algorithm with adaptive mutation in the design of P systems. In Addition the book proposes a Membrane-Immune algorithm that is inspired from the structure of living cells and the vertebrate immune system. The algorithm is tested by solving the Multiple Zero/One Knapsack Problem. The Membrane-Immune algorithm surpassed two variants of genetic algorithms that solved the same problem. The Membrane-Immune algorithm is also applied to generate a fuzzy rule based system to be used in breast cancer diagnosis. Generating a fuzzy rule system composes an exponential search space, which leads to the area of NP-complete problems. The algorithm is compared with five techniques and surpassed them. Last chapter presents a proposal of P Systems implementation using Cloud Computing. The proposed Implementation is illustrated by solving SAT problem.

Basha, T. A., Methods for functional imaging in cardiac magnetic resonance, , vol. 71, issue 01, 2009. Abstract
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Bahgat, R., Non-Deterministic Concurrent Logic Programming in Pandora, : World Scientific Publishing Company, 1993. Website
Rumbaugh, J., M. Blaha, W. Premerlani, F. Eddy, and W. Lorensen, Object-oriented modeling and design, , Englewood Cliffs, NJ, Prentice-Hall, 1991. Abstract
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Badr, M. N., W. Youssef, and N. Khalil, Pain Assessment and Management in Critically Ill Patients: Nurses' Knowledge and Practices, , Germany, LAP Lambert Academic Publishing, 2015. abstract.pdf
Shazly, M., A. - R. Bashtar, and K. Morsy, Parasitic Protozoa: Alveolata as human and animal parasites, , 2017.
Bonakdari, H., I. Ebtehaj, A. H. Azimi, P. Samui, ahmed a sattar, A. Jamali, S. H. A. Talesh, A. Mosavi, and B. Gharabaghi, "Pareto design of multiobjective evolutionary neuro-fuzzy system for predicting scour depth around bridge piers", Water Engineering Modeling and Mathematic Tools, pp. 491 – 517, 2021. AbstractWebsite
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Badr, A., S. Fahmy, A. Monem, M. Zaghloul, N. Hassan, I. Abdel-Kader, K. Varjabedian, A. Afifi, sakrsaber, G. Osman, et al., Performance Evaluation of Institutional Animal Care and Use Committees in Egypt, , 2016/04/02. Abstract
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