Kareem Kamal A.Ghany, G. Hassan, G. Schaefer, A. E. Hassanien, M. A. R. Ahad, and H. A. Hefny,
"A Hybrid Biometric Approach Embedding DNA Data in Fingerprint Images",
3rd Intl. Conf. on Informatics, Electronics & Vision (ICIEV2014), Dhaka - Bangladesh, 23-24 May, 2014.
Amin, I. I., A. E. Hassanien, Hesham A. Hefny, and S. K. Kassim,
"Visualizing and identifying the DNA methylation markers in breast cancer tumor subtypes",
The 5th International Conference on Innovations in Bio-Inspired Computing and Applications (Springer) IBICA2014, Ostrava, Czech Republic., 22-24 June, 2014.
AbstractDNA methylation is an epigenetic mechanism that cells use to control
gene expression. DNA methylation has become one of the hottest topics in cancer
research, especially for abnormally hypermethylated tumor suppressor genes
or hypomethylaed oncogenes research. The analysis of DNA methylation data
determines the differential hypermethlated or hypomethylated genes that are candidate
to be cancer biomarkers. Visualization the DNA methylation status may
lead to discover new relationships between hypomethylated and hypermethylated
genes, therefore this paper applied a mathematical modelling theory called formal
concept analysis for visualizing DNA methylation status.
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.
Kudelka, M., V. Snasel, Z. Horak, A. E. Hassanien, A. Abraham, and J. D. Velásquez,
"A novel approach for comparing web sites by using MicroGenres",
Engineering Applications of Artificial Intelligence,, vol. 35, pp. 178-198, 2014.
AbstractIn this paper, a novel approach is introduced to compare web sites by analysing their web page content. Each web page can be expressed as a set of entities called MicroGenres, which in turn are abstractions about design patterns and genres for representing the page content. This description is useful for web page and web site classification and for a deeper insight into the web site׳s social context.
The web site comparison is useful for extracting patterns which can be used for improving Web search engine effectiveness, the identification of best practices in web site design and of course in the organization of web page content to personalize the web user experience on a web site.
The effectiveness of the proposed approach was tested in a real world case, with e-shop web sites showing that a web site can be represented in a high level of abstraction by using MicroGenres, the contents of which can then be compared and given a measure corresponding to web site similarity. This measure is very useful for detecting web communities on the Web, i.e., a group of web sites sharing similar contents, and the result is essential in performing a focused and effective information search as well as minimizing web page retrieval.
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.
Abstractn/a
Kumar, U. S., H. H. Inbarani, A. T. Azar, and A. E. Hassanien,
"Identification of heart valve disease using bijective soft sets theory",
International Journal of Rough Sets and Data Analysis (IJRSDA), vol. 1, no. 2: IGI Global, pp. 1–14, 2014.
Abstractn/a
Kudelka, M., V. Snasel, Z. Horak, A. E. Hassanien, A. Abraham, and J. D. Velásquez,
"A novel approach for comparing web sites by using MicroGenres",
Engineering Applications of Artificial Intelligence, vol. 35: Pergamon, pp. 187–198, 2014.
Abstractn/a