@article {8699111820120101,
	title = {Reduced Complexity Iterative Decoding of 3D-Product Block Codes Based on Genetic Algorithms.},
	journal = {Journal of Electrical \& Computer Engineering},
	year = {2012},
	pages = {1 - 8},
	abstract = {Two iterative decoding algorithms of 3D-product block codes (3D-PBC) based on genetic algorithms (GAs) are presented. The first algorithm uses the Chase-Pyndiah SISO, and the second one uses the list-based SISO decoding algorithm (LBDA) based on order-i reprocessing. We applied these algorithms over AWGN channel to symmetric 3D-PBC constructed from BCH codes. The simulation results show that the first algorithm outperforms the Chase-Pyndiah one and is only 1.38 dB away from the Shannon capacity limit at BER of 10-5 for BCH (31, 21, 5){\textthreesuperior} and 1.4 dB for BCH (16, 11, 4){\textthreesuperior}. The simulations of the LBDA-based GA on the BCH (16, 11, 4){\textthreesuperior} show that its performances outperform the first algorithm and is about 1.33 dB from the Shannon limit. Furthermore, these algorithms can be applied to any arbitrary 3D binary product block codes, without the need of a hard-in hardout decoder. We show also that the two proposed decoders are less complex than both Chase-Pyndiah algorithm for codes with large corr},
	keywords = {Computational complexity, Computer simulation, Genetic algorithms, Iterative decoding, Performance evaluation, Three-dimensional imaging},
	issn = {20900147},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=86991118\&site=ehost-live},
	author = {Ahmadi, Abdeslam and Bouanani, Faissal El and Ben-Azza, Hussain and Benghabrit, Youssef}
}
@conference { ISI:000371495900010,
	title = {Measure of Fuzzy Presence of Descriptors on Arabic Text Mining},
	booktitle = {2012 COLLOQUIUM ON INFORMATION SCIENCE AND TECHNOLOGY (CIST{\textquoteright}12)},
	series = {Colloquium in Information Science and Technology},
	year = {2011},
	note = {IEEE Colloquium on Information Science and Technology (CIST), Fez, MOROCCO, OCT 22-24, 2012},
	pages = {58-63},
	publisher = {IEEE; IEEE Morocco Sect; IEEE Morocco Comp \& Commun Joint Chapter; USMBA IEEE Student Branch; Faculty of Sciences Dhar Mahraz; Faculty of Technical Sciences of Fez; IEEE Comp Soc; IEEE Commun Soc},
	organization = {IEEE; IEEE Morocco Sect; IEEE Morocco Comp \& Commun Joint Chapter; USMBA IEEE Student Branch; Faculty of Sciences Dhar Mahraz; Faculty of Technical Sciences of Fez; IEEE Comp Soc; IEEE Commun Soc},
	abstract = {In the present work, we propose a new model of radical descriptors in Arabic Text Mining. This model will be based on the addition of lexical information contained in the morphological pattern of the Arabic word. We developed a statistical model by Hidden Markov Chain to disambiguate the morphological analysis of corpora, and we propose a new method to measure the relationship between descriptors based on a notion of {\textquoteleft}{\textquoteleft}fuzzy measure of the presence{{\textquoteright}{\textquoteright}} and we adapt the traditional statistical measures to this context, and we outline the key measures of similarity and distances used in Text Mining.},
	isbn = {978-1-4673-2725-1},
	issn = {2327-185X},
	author = {El Hassani, Ibtissam and Kriouile, Abdelaziz and Benghabrit, Youssef},
	editor = {ElMohajir, M and Begdouri, A and ElMohajir, BE and Zarghili, A}
}
