Download Advances in Computer and Information Sciences and by Tarek Sobh PDF

By Tarek Sobh

Advances in computing device and data Sciences and Engineering incorporates a set of carefully reviewed world-class manuscripts addressing and detailing cutting-edge learn initiatives within the parts of desktop technological know-how, software program Engineering, computing device Engineering, and platforms Engineering and Sciences. Advances in desktop and knowledge Sciences and Engineering contains chosen papers from the convention lawsuits of the foreign convention on platforms, Computing Sciences and software program Engineering (SCSS 2007) which used to be a part of the overseas Joint meetings on machine, info and structures Sciences and Engineering (CISSE 2007).

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311322. M. Samir, W. Ata, and N. Darwish, “A New Technique for Automatic Text Categorization for Arabic Documents”, Proceedings of the 5th Conference of the Internet and Information Technology in Modern Organizations, December, Cairo, Egypt, 2005, pp. 13-15. com. M. El-Halees, “Arabic Text Classification Using Maximum Entropy”, The Islamic University Journal, Vol. 15, No. 1, 2007, pp 157-167. M. Mesleh, “CHI Square Feature Extraction Based SVMs Arabic Language Text Categorization System”, Proceedings of the 2nd international Conference on Software and Data Technologies, (Knowledge Engineering), Volume 1, Barcelona, Spain, July, 22—25, 2007, pp.

A. Fundamentals of the discrete signals’ theory on the finite intervals. : Sov. Radio, 1975. -208 p. P. Carbone and D. Petri, “Average power estimation under nonsinusoidal conditions”, IEEE Trans. Instrum. , vol. 49, No 2, pp. 333–336, Apr. 2000. (a), Tello-Delgado, D. (a), García-Arriaga H. O. (b) Universidad del Mar-Puerto Ángel, (a) Instituto de Industrias, (b) Instituto de Ecología Ciudad Universitaria S/N, Km. 5 Carretera Puerto Ángel – Zipolite Puerto Ángel, 70902, Oaxaca, México Abstract- In this work the process to reduce hexavalent Chromium (Cr(VI)) in an electrochemical continuous stirred tank reactor is optimized.

According to the standard attention model of Koch and Ullman, and VOCUS, we concentrate on the three features (color, intensity, orientation), since they belong to the basic feature of human perception and are rather easy to compute. , size, curvature, and motion [1]. In future works, we intend to complete the top-down part of the system. In addition, we should improve the system’s speed to make it possible for being used in real time cases. We will also study addition of the motion feature, which has an important role in attracting the attention.

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