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Dey, N., A. S. Ashour, S. Chakraborty, S. Banerjee, E. Gospodinova, M. Gospodinov, and A. E. Hassanien, "Watermarking in Biomedical Signal Processing", Intelligent Techniques in Signal Processing for Multimedia Security: Springer International Publishing, pp. 345–369, 2017. Abstract
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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
Dey, A., S. Dey, Siddhartha Bhattacharyya, V. Snasel, and A. E. Hassanien, "Simulated Annealing Based Quantum Inspired Automatic Clustering Technique", AMLTA 2018: The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) , Cairo, 23 fEB, 2018. Abstract

Cluster analysis is a popular technique whose aim is to segregate a set of data points into groups, called clusters. Simulated Annealing (SA) is a popular meta-heuristic inspired by the annealing process used in metallurgy, useful in solving complex optimization problems. In this paper, the use of the Quantum Computing (QC) and SA is explored to design Quantum Inspired Simulated Annealing technique, which can be applied to compute optimum number of clusters for image clustering. Experimental results over a number of images endorse the effectiveness of the proposed technique pertaining to fitness value, convergence time, accuracy, robustness, and standard error. The paper also reports the computation results of a statistical superiority test, known as t-test. An experimental judgement to the classical technique has also be presented, which eventually demonstrates that the proposed technique outperforms the other.

Dey, N., A. S. Ashour, and A. E. Hassanien, "Feature Detectors and Descriptors Generations with Numerous Images and Video Applications: A Recap", Feature Detectors and Motion Detection in Video Processing: IGI Global, pp. 36–65, 2017. Abstract
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Dey, N., V. Bhateja, and A. E. Hassanien, Medical Imaging in Clinical Applications: Algorithmic and Computer-Based Approaches, : Springer, 2016. Abstract
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Davendra, D., A. El-Atta, H. Ahmed, M. A. Abu ElSoud, M. Adamek, M. Adhikari, A. Adl, H. Aldosari, Abder-Rahman Ali, A. F. Ali, et al., "Cordeschi, Nicola 43 Couceiro, Micael 83, 131 Czopik, Jan 365 Dasgupta, Kousik 271", Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014, vol. 303: Springer, pp. 439, 2014. 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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Darwish, A., M. M. El-Gendy, and A. E. Hassanien, "A New Hybrid Cryptosystem for Internet of Things Applications", Multimedia Forensics and Security: Springer International Publishing, pp. 365–380, 2017. Abstract
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Darwish, A., A. E. Hassanien, Q. Tan, and N. R. Pal, "Securing patients medical images and authentication system based on public key infrastructure", Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011: Springer Berlin Heidelberg, pp. 27–34, 2011. Abstract
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Darwish, A., A. E. Hassanien, Q. Tan, and N. R. Pal, "Securing patients medical images and authentication system based on public key infrastructure", Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011: Springer Berlin Heidelberg, pp. 27–34, 2011. Abstract
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Dai, G., Z. Wang, C. Yang, H. Liu, A. E. Hassanien, and W. Yang, "A multi-granularity rough set algorithm for attribute reduction through particles particle swarm optimization", Computer Engineering Conference (ICENCO), 2015 11th International: IEEE, pp. 303–307, 2015. Abstract
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Dadkhah, S., A. A. Manaf, Y. Hori, A. E. Hassanien, and S. Sadeghi, "An effective SVD-based image tampering detection and self-recovery using active watermarking", Signal Processing: Image Communication, vol. 29, no. 10: Elsevier, pp. 1197–1210, 2014. Abstract
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