Publications

Export 1250 results:
Sort by: Author [ Title  (Asc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
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
n/a
Hassanien, A. E., M. A. Fattah, S. MOHAMED, and others, "Art. 04–Volume 24• Issue 3• 2015", Studies in Informatics and Control-ICI Bucharest, 2015. Abstract
n/a
Mostafa, A., A. Fouad, M. A. Fattah, A. E. Hassanien, and H. Hefny, "Artificial Bee Colony Based Segmentation for CT Liver Images", Medical Imaging in Clinical Applications: Springer International Publishing, pp. 409–430, 2016. Abstract
n/a
Fattah, M. A., A. E. H. , and A. F. A. Abdalla Mostafa, "Artificial Bee Colony Optimizer for Historical Arabic Manuscript Images Binarization", IEEE iInternational Computer Engineering Conference - ICENCO , Cairo, 30 Dec, 2015.
Fattah, M. A., A. E. Hassanien, A. Mostafa, A. F. Ali, K. M. Amin, and S. MOHAMED, "Artificial bee colony optimizer for historical Arabic manuscript images binarization", Computer Engineering Conference (ICENCO), 2015 11th International: IEEE, pp. 251–255, 2015. Abstract
n/a
El-said, S. A., and A. E. Hassanien, "Artificial eye vision using wireless sensor networks", Wireless sensor networks: theory and applications. CRC Press, Taylor and Francis Group, Boca Raton, 2013. Abstract
n/a
Aziz, A. S. A., M. A. Salama, A. E. Hassanien, and S. E. - O. Hanafi, "Artificial Immune System Inspired Intrusion Detection System Using Genetic Algorithm.", Informatica (Slovenia), vol. 36, no. 4, pp. 347–357, 2012. Abstract
n/a
Aziz, A. S. A., M. A. Salama, A. E. Hassanien, and S. E. - O. Hanafi, "Artificial Immune System Inspired Intrusion Detection System Using Genetic Algorithm.", Informatica (Slovenia), vol. 36, no. 4, pp. 347–357, 2012. Abstract
n/a
Aziz, A. S. A., M. A. Salama, A. E. Hassanien, and S. E. - O. Hanafi, "Artificial Immune System Inspired Intrusion Detection System Using Genetic Algorithm.", Informatica (Slovenia), vol. 36, no. 4, pp. 347–357, 2012. Abstract
n/a
Issaa, M., A. E. Hassanien, D. Oliva, A. Helmi, and I. Z. A. and Alzohairy, "ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment", Expert Systems with Applications, vol. 99, issue 1, pp. 56-70, 2018. AbstractWebsite

The sine cosine algorithm (SCA), a recently proposed population-based optimization algorithm, is based on the use of sine and cosine trigonometric functions as operators to update the movements of the search agents. To optimize performance, different parameters on the SCA must be appropriately tuned. Setting such parameters is challenging because they permit the algorithm to escape from local optima and avoid premature convergence. The main drawback of the SCA is that the parameter setting only affects the exploitation of the prominent regions. However, the SCA has good exploration capabilities. This article presents an enhanced version of the SCA by merging it with particle swarm optimization (PSO). PSO exploits the search space better than the operators of the standard SCA. The proposed algorithm, called ASCA-PSO, has been tested over several unimodal and multimodal benchmark functions, which show its superiority over the SCA and other recent and standard meta-heuristic algorithms. Moreover, to verify the capabilities of the SCA, the SCA has been used to solve the real-world problem of a pairwise local alignment algorithm that tends to find the longest consecutive substrings between two biological sequences. Experimental results provide evidence of the good performance of the ASCA-PSO solutions in terms of accuracy and computational time.

Esraa Elhariri, N. El-Bendary, A. E. Hassanien, and V. Snasel, "An Assistive Object Recognition System for Enhancing Seniors Quality of Life", Procedia Computer Science, vol. 65: Elsevier, pp. 691–700, 2015. Abstract
n/a
El Bakrawy, L. M., N. I. Ghali, A. E. Hassanien, and A. Abraham, "An associative watermarking based image authentication scheme", Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on: IEEE, pp. 823–828, 2010. Abstract
n/a
El Bakrawy, L. M., N. I. Ghali, A. E. Hassanien, and A. Abraham, "An associative watermarking based image authentication scheme", Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on: IEEE, pp. 823–828, 2010. Abstract
n/a
Hassanien, A. E., "Associative Watermarking Scheme for Medical Image Authentication", International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2011, Salamanca, Spain, Advances in Intelligent and Soft Computing, Springer, Volume 91/2011, 43-50, , 6-8 April 2011. Abstract

With the widespread and increasing use of internet and digital forms of image; and the convencience of medical professionals that the future of health care will be shaped by teleradiology and technologies such as telemedicine in general. In addition to the various radiological modalities which produce a variety of digital medical files most often datasets and images. These files should be protected from unwanted modification of their contents, especially as they contain vital medical information. Thus their protection and authentication seems to be of great importance and this need will rise along with the future standardization of exchange of data between hospitals or between patients and doctors. In this paper, an associative watermarking scheme is conducted to perform associative watermarking rules to the images which reducts the amount of embedded data, vector quantization indexing scheme is used to embed watermark for the purpose of image authentication. The vector quantization decoding technique is applied to reconstruct the watermarked image from the watermarked index table. The experimental results show that the proposed scheme is robust. The watermarked images are resistant to severe image processing attcks such as Gaussian noise, brightness, blurring, sharpening, cropping, and JPEG lossy compression.

Ghali, N. I., L. M. El Bakrawy, and A. E. Hassanien, "Associative Watermarking Scheme for Medical Image Authentication", International Symposium on Distributed Computing and Artificial Intelligence: Springer Berlin Heidelberg, pp. 43–50, 2011. Abstract
n/a
Hassanien, A. E., "Associative Watermarking Scheme for Medical Image Authentication", International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2011: Advances in Intelligent and Soft Computing, Springer, Volume 91/2011, 43-50,, 2011. Abstract

n/a

Ghali, N. I., L. M. El Bakrawy, and A. E. Hassanien, "Associative Watermarking Scheme for Medical Image Authentication", International Symposium on Distributed Computing and Artificial Intelligence: Springer Berlin Heidelberg, pp. 43–50, 2011. Abstract
n/a
Waleed Yamany, H. M. Zawbaa, Eid Emary, and A. E. Hassanien, "Attribute reduction approach based on modified flower pollination algorithm", Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on: IEEE, pp. 1–7, 2015. Abstract
n/a
Fattah, M. A., M. A. A. ELsoud, A. E. Hassanien, and T. - H. Kim, "Automated classification of galaxies using invariant moments", International Conference on Future Generation Information Technology: Springer Berlin Heidelberg, pp. 103–111, 2012. Abstract
n/a
Fattah, M. A., M. A. A. ELsoud, A. E. Hassanien, and T. - H. Kim, "Automated classification of galaxies using invariant moments", International Conference on Future Generation Information Technology: Springer Berlin Heidelberg, pp. 103–111, 2012. Abstract
n/a
Sayed, G. I., A. E. Hassanien, and G. Schaefer, "An Automated Computer-aided Diagnosis System for Abdominal CT Liver Images ", Procedia Computer Science, , vol. 90 , pp. Pages 68-73, 2016. AbstractWebsite

In this paper, we present a computer-aided diagnosis (CAD) system for abdominal Computed Tomography liver images that comprises four main phases: liver segmentation, lesion candidate segmentation, feature extraction from each candidate lesion, and liver disease classification. A hybrid approach based on fuzzy clustering and grey wolf optimisation is employed for automatic liver segmentation. Fast fuzzy c-means clustering is used for lesion candidates extraction, and a variety of features are extracted from each candidate. Finally, these features are used in a classification stage using a support vector machine. Experimental results confirm the efficacy of the proposed CAD system, which is shown to yield an overall accuracy of almost 96% in terms of healthy liver extraction and 97% for liver disease classification.

Sayed, G. I., A. E. Hassanien, and G. Schaefer, "An Automated Computer-aided Diagnosis System for Abdominal CT Liver Images", Procedia Computer Science, vol. 90: Elsevier, pp. 68–73, 2016. Abstract
n/a
Mahir M. Sharif, Alaa Tharwat, A. E. H. H. H. A., "Automated Enzyme Function Classification Based on Pairwise Sequence Alignment Technique", Proceedings of the Second Euro-China Conference on Intelligent Data Analysis and Applications (Springer), ECC 2015, , Ostrava, Czech Republic, June 29 - July 1, 2015. Abstract

Enzymes are important in our life due to its importance in the most biological processes. Thus, classification of the enzyme’s function is vital to save efforts and time in the labs. In this paper, we propose an approach based on sequence alignment to compute the similarity between any two sequences. In the proposed approach, two different sequence alignment methods are used, namely, local and global sequence alignment. There are different score matrices such as BLOSUM and PAM are used in the local and global alignment to calculate the similarity between the unknown sequence and each sequence of the training sequences. The results which obtained were acceptable to some extent compared to previous studies that have surveyed.

Sharif, M. M., Alaa Tharwat, A. E. Hassanien, and H. A. Hefeny, "Automated Enzyme Function Classification Based on Pairwise Sequence Alignment Technique", Intelligent Data Analysis and Applications: Springer International Publishing, pp. 499–510, 2015. Abstract
n/a
Elhoseny, M., N. Metawa, and A. E. Hassanien, "An automated information system to ensure quality in higher education institutions", 2016 12th International Computer Engineering Conference (ICENCO), , Cairo, 28-29 Dec. 2016. Abstract

Despite the great efforts to assure quality in higher education institutions, the ambiguity of its related concepts and requirements constitute a big challenge when trying to implement it as an automated information system. The present work introduces a framework for an automated information system that manages the quality assurance in higher educations institutions. The aim of designing such a system is to provide an automation tool that avoids unnecessary and redundant tasks associated to quality in higher education institutions. In addition, the proposed system helps all higher education stockholders to handle and monitor their tasks. Moreover, it aims to help the quality assurance center in a higher education institution to apply its qualitys standards, and to make sure that they are being maintained and enhanced. This information system contains a core module and 17 sub-modules, which are described in this paper.

Tourism