Publications

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El-Bendary, N., M. M. M. Fouad, R. A. Ramadan, S. Banerjee, and A. E. Hassanien, "Smart environmental monitoring using wireless sensor networks", Wireless Sensor Networks: From Theory to Applications: CRC Press, pp. 731–754, 2013. Abstract
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El-Bendary, N., H. M. Zawbaa, A. E. Hassanien, and V. Snasel, "PCA-based home videos annotation system", International Journal of Reasoning-based Intelligent Systems, vol. 3, no. 2: Inderscience Publishers, pp. 71–79, 2011. Abstract
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El-Bendary, N., H. Al-Qaheri, H. M. Zawbaa, M. Hamed, A. E. Hassanien, Q. Zhao, and A. Abraham, "HSAS: Heart sound authentication system", Nature and Biologically Inspired Computing (NaBIC), 2010 Second World Congress on: IEEE, pp. 351–356, 2010. Abstract
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El-Bendary, N., A. E. Hassanien, E. Corchado, and R. C. Berwick, "ARIAS: Automated retinal image analysis system", Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011: Springer Berlin Heidelberg, pp. 67–76, 2011. Abstract
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El-Bendary, N., T. - H. Kim, A. E. Hassanien, and M. Sami, "Automatic image annotation approach based on optimization of classes scores", Computing -Spriner , vol. 96, issue 5, pp. 381-402 , 2014. Website
El-Bendary, N., Esraa Elhariri, A. E. Hassanien, and A. Badr, "Using machine learning techniques for evaluating tomato ripeness. Expert Syst. Appl. ", Expert Syst. Appl. , vol. 42, issue 4, pp. 1892-1905, 2015. Website
El-Bendary, N., Esraa Elhariri, M. Hazman, S. M. Saleh, and A. E. Hassanien, "Cultivation-time recommender system based on climatic conditions for newly reclaimed lands in Egypt", Procedia Computer Science, vol. 96: Elsevier, pp. 110–119, 2016. Abstract
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El-Bendary, N., H. M. Zawbaa, A. E. Hassanien, and V. Snasel, "PCA-based home videos annotation system", International Journal of Reasoning-based Intelligent Systems, vol. 3, no. 2: Inderscience Publishers, pp. 71–79, 2011. Abstract
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El-Bendary, N., A. E. Hassanien, E. Corchado, and R. C. Berwick, "ARIAS: Automated retinal image analysis system", Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011: Springer Berlin Heidelberg, pp. 67–76, 2011. Abstract
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El-Bendary, N., A. E. Hassanien, J. Sedano, O. S. Soliman, and N. I. Ghali, "$μ$TESLA-based secure routing protocol for wireless sensor networks", Proceedings of the First International Workshop on Security and Privacy Preserving in e-Societies: ACM, pp. 34–39, 2011. Abstract
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El-Bendary, N., T. - H. Kim, A. E. Hassanien, and M. Sami, "Automatic image annotation approach based on optimization of classes scores", Computing, vol. 96, no. 5: Springer Vienna, pp. 381–402, 2014. Abstract
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El-Bendary, N., Esraa Elhariri, A. E. Hassanien, and A. Badr, "Using machine learning techniques for evaluating tomato ripeness", Expert Systems with Applications, vol. 42, no. 4: Pergamon, pp. 1892–1905, 2015. Abstract
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El-Bendary, N., A. E. Hassanien, J. Sedano, O. S. Soliman, and N. I. Ghali, "$μ$TESLA-based secure routing protocol for wireless sensor networks", Proceedings of the First International Workshop on Security and Privacy Preserving in e-Societies: ACM, pp. 34–39, 2011. Abstract
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El-Bendary, N., V. Snasel, G. Adam, F. Mansour, N. I. Ghali, O. S. Soliman, and A. E. Hassanien, "E-Contract Securing System Using Digital Signature Approach", Advanced Communication and Networking: Springer Berlin Heidelberg, pp. 183–189, 2011. Abstract
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El-Bendary, N., Esraa Elhariri, M. Hazman, S. M. Saleh, and A. E. Hassanien, "Cultivation-time Recommender System Based on Climatic Conditions for Newly Reclaimed Lands in Egypt", Procedia Computer Science, vol. Volume 96, , pp. Pages 110-119, 2016. AbstractWebsite

This research proposes cultivation-time recommender system for predicting the best sowing dates for winter cereal crops in the newly reclaimed lands in Farafra Oasis, The Egyptian Western Desert. The main goal of the proposed system is to support the best utilization of farm resources. In this research, predicting the best sowing dates for the aimed crops is based on weather conditions prediction along with calculating the seasonal accumulative growing degree days (GDD) fulfillment duration for each crop. Various Machine Learning (ML) regression algorithms have been used for predicting the daily minimum and maximum air temperature based on historical weather conditions data for twenty-five growing seasons (1990/91 to 2014/15). Experimental results showed that using the M5P and IBk ML regression algorithms have outperformed the other implemented regression algorithms for predicting the daily minimum and maximum air temperature based on historical weather conditions data. That has been measured based on the calculated mean absolute error (MAE). Also, obtained experimental results obviously indicated that the best cultivation-time prediction by the proposed recommender system has been achieved by the M5P algorithm, based on the seasonal accumulative GDD fulfillment duration, for the coming five growing seasons (2016/17 to 2019/20).

El-Bendary, N., M. M. M. Fouad, R. A. Ramadan, S. Banerjee, and A. E. Hassanien, "Smart environmental monitoring using wireless sensor networks", Wireless Sensor Networks: From Theory to Applications: CRC Press, pp. 731–754, 2013. Abstract
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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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El-Bendary, N., Mohamed Mostafa M. Fouad, Rabie A. Ramadan, S. Banerjee, and A. E. Hassanien, "Smart Environmental Monitoring Using Wireless Sensor Networks.", Wireless Sensor Networks: Theory and Applications, pp. 733-755, , USA, CRC Press, Taylor and Francis Group, 2013. k15146_c025.pdf
El-Bendary, N., O. S. Soliman, N. I. Ghali, A. E. Hassanien, V. Palade, and H. Liu, "A secure directed diffusion routing protocol for wireless sensor networks", Next Generation Information Technology (ICNIT), 2011 The 2nd International Conference on: IEEE, pp. 149–152, 2011. Abstract
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El-Bendary, N., H. Al-Qaheri, H. M. Zawbaa, M. Hamed, A. E. Hassanien, Q. Zhao, and A. Abraham, "HSAS: Heart sound authentication system", Nature and Biologically Inspired Computing (NaBIC), 2010 Second World Congress on: IEEE, pp. 351–356, 2010. Abstract
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El-Baz, A. H., A. E. Hassanien, and G. Schaefer, "Identification of Diabetes Disease Using Committees of Neural Network-Based Classifiers", Machine Intelligence and Big Data in Industry: Springer International Publishing, pp. 65–74, 2016. Abstract
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El-Atta, A. A. H., and A. E. Hassanien, "Two-class support vector machine with new kernel function based on paths of features for predicting chemical activity", Information Sciences, vol. 403: Elsevier, pp. 42–54, 2017. Abstract
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El-Atta, A. A. H., M. I. Moussa, and A. E. Hassenian, " Predicting biological activity of 2,4,6-trisubstituted 1,3,5-triazines", 5ththe 5th International Conference on Innovations in Bio-Inspired Computing and Applications - IBICA2014 (Springer), Ostrava, Czech Republic., 22-24 June, 2013.
El-Atta, A. A. H., M. I. Moussa, and A. E. Hassanien, "Predicting activity approach based on new atoms similarity kernel function", Journal of Molecular Graphics and Modelling, vol. 60: Elsevier, pp. 55–62, 2015. Abstract
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El-Atta, A. A. H., M. I. Moussa, and A. E. Hassanien, "Predicting Biological Activity of 2, 4, 6-trisubstituted 1, 3, 5-triazines Using Random Forest", Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014: Springer International Publishing, pp. 101–110, 2014. Abstract
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