Ramnath, K., S. Baker, L. Vanderwende, M. El-Saban, S. N. Sinha, A. Kannan, N. Hassan, M. Galley, Y. Yang, D. Ramanan, et al.,
"Autocaption: Automatic caption generation for personal photos",
IEEE Winter Conference on Applications of Computer Vision: IEEE, pp. 1050–1057, 2014.
Abstractn/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.
AbstractEnzymes 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.
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.
AbstractDespite 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.
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.
AbstractDespite 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.
]