@article {Niharmine20224164,
	title = {Tifinagh handwritten character recognition using optimized convolutional neural network},
	journal = {International Journal of Electrical and Computer Engineering},
	volume = {12},
	number = {4},
	year = {2022},
	note = {cited By 1},
	pages = {4164-4171},
	abstract = {Tifinagh handwritten character recognition has been a challenging problem due to the similarity and variability of its alphabets. This paper proposes an optimized convolutional neural network (CNN) architecture for handwritten character recognition. The suggested model of CNN has a multi-layer feedforward neural network that gets features and properties directly from the input data images. It is based on the newest deep learning open-source Keras Python library. The novelty of the model is to optimize the optical character recognition (OCR) system in order to obtain best performance results in terms of accuracy and execution time. The new optical character recognition system is tested on a customized dataset generated from the amazigh handwritten character database. Experimental results show a good accuracy of the system (99.27\%) with an optimal execution time of the classification compared to the previous works. {\textcopyright} 2022 Institute of Advanced Engineering and Science. All rights reserved.},
	doi = {10.11591/ijece.v12i4.pp4164-4171},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129672744\&doi=10.11591\%2fijece.v12i4.pp4164-4171\&partnerID=40\&md5=052fc4046f2fd3194e9d1315bb43dc05},
	author = {Niharmine, L. and Outtaj, B. and Azouaoui, A.}
}
@conference {Tahiri20181,
	title = {A novel detector based on the compact genetic algorithm for MIMO systems},
	booktitle = {Proceedings - 2018 International Conference on Advanced Communication Technologies and Networking, CommNet 2018},
	year = {2018},
	pages = {1-6},
	doi = {10.1109/COMMNET.2018.8360279},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048346101\&doi=10.1109\%2fCOMMNET.2018.8360279\&partnerID=40\&md5=80e5367fed32603ca01e87c38d0b8d75},
	author = {Tahiri, N. and Azouaoui, A. and Belkasmi, M.}
}
@article {Niharmine20181174,
	title = {Simulated annealing decoder for linear block codes},
	journal = {Journal of Computer Science},
	volume = {14},
	number = {8},
	year = {2018},
	pages = {1174-1189},
	doi = {10.3844/jcssp.2018.1174.1189},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052851664\&doi=10.3844\%2fjcssp.2018.1174.1189\&partnerID=40\&md5=fe2215ebe454f68d001cef85f5f26095},
	author = {Niharmine, L. and Bouzkraoui, H. and Azouaoui, A. and Hadi, Y.}
}
@article {Bouzkraoui20183994,
	title = {Soft decision decoding of linear block codes using memetic algorithms},
	journal = {Journal of Theoretical and Applied Information Technology},
	volume = {96},
	number = {13},
	year = {2018},
	pages = {3994-4003},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050164403\&partnerID=40\&md5=a229b49e1f514877e8d3bf865c806ede},
	author = {Bouzkraoui, H. and Azouaoui, A. and Hadi, Y. and Niharmine, L.}
}
@conference {Niharmine20181,
	title = {Tifinagh handwritten character recognition using genetic algorithms},
	booktitle = {Proceedings - 2018 International Conference on Advanced Communication Technologies and Networking, CommNet 2018},
	year = {2018},
	pages = {1-6},
	doi = {10.1109/COMMNET.2018.8360267},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048318442\&doi=10.1109\%2fCOMMNET.2018.8360267\&partnerID=40\&md5=5073236df8a21a7f3797ced0a0d435ec},
	author = {Niharmine, L. and Outtaj, B. and Azouaoui, A.}
}
@conference {Boualame2017,
	title = {An efficient soft decision decoding algorithm using cyclic permutations and compact genetic algorithm},
	booktitle = {2016 International Conference on Advanced Communication Systems and Information Security, ACOSIS 2016 - Proceedings},
	year = {2017},
	note = {cited By 0},
	abstract = {The compact genetic algorithm cGA is used in this paper to design an efficient soft-decision decoding algorithm, especially for the cyclic codes, because the cGA dramatically reduces the population{\textquoteright}s size and rapidly converges to the optimal solution compared to classical genetic algorithms. Our main contribution is to exploit the cyclic property of cyclic linear codes to reduce the complexity of the decoding process especially in the test sequences generation and re-encoding stage where we use the generator polynomial instead of the generator matrix. The second idea behind our decoding algorithm is the complexity improvement inside of cGA by decreasing the probability vector{\textquoteright}s length, which becomes less than the length of the cGA original one. The experiments were carried out on the most popular cyclic codes, and the results show that the performances of our algorithm are better than some famous decoding algorithms in terms of Bit Error Rate. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/ACOSIS.2016.7843936},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015170559\&doi=10.1109\%2fACOSIS.2016.7843936\&partnerID=40\&md5=249f966f42367ada53bac8892853f1c4},
	author = {Boualame, H. and Tahiri, N. and Chana, I. and Azouaoui, A. and Belkasmi, M.}
}
@conference {Addi2017,
	title = {New hard decision decoder of LDPC codes using single bit flipping algorithm},
	booktitle = {Proceedings - 2017 International Conference on Wireless Networks and Mobile Communications, WINCOM 2017},
	year = {2017},
	note = {cited By 0},
	abstract = {The Bit-Flipping (BF) algorithm is considered as a hard decoding method for LDPC codes. It is much simpler than the probabilistic methods like Sum Product Algorithm (SPA), and can be efficiently implemented by electronic circuits. In this paper, we propose a new Bit Flipping algorithm for Low-Density Parity- Check codes (LDPC) called Single Bit-Flipping (SBF). Compared to the Gallager Bit-Flipping algorithm, the proposed algorithm employs criteria of flipping single bit chosen carefully. This method eliminates the risk for flipping more than one bit at a time that can induce additional error bits and propagate the errors to the later iterations. We present some results obtained by applying this new method that provides a gain in performance in comparison to the standard Gallager Bit-Flipping with low complexity. {\textcopyright}2017 IEEE.},
	doi = {10.1109/WINCOM.2017.8238191},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041431498\&doi=10.1109\%2fWINCOM.2017.8238191\&partnerID=40\&md5=51139715da4295938142bee17d106a96},
	author = {Addi, S. and Berkani, A. and Azouaoui, A. and Belkasmi, M.}
}
@article {Niharmine20173087,
	title = {Recognition of handwritten tifinagh characters using gradient direction features},
	journal = {Journal of Theoretical and Applied Information Technology},
	volume = {95},
	number = {13},
	year = {2017},
	note = {cited By 0},
	pages = {3087-3095},
	abstract = {Optical Character Recognition system goal is to convert handwritten characters input images to an editable text. Many OCR techniques have been developed by researchers for Latin and Arabic languages. Amazigh language still have few works in this area. This paper emphasizes a new methodology to recognize the Tifinagh characters using zoning gradient features with a high accuracy and recognition rate. The new methodology is based on gradient direction as features and artificial neural networks as a classifier. The novelty of the new proposed system is the high accuracy and the training time which is very small compared with other classifiers. {\textcopyright} 2005 {\textendash} ongoing JATIT \& LLS.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024366252\&partnerID=40\&md5=012b6056b533d3ac46e12de7824b5b98},
	author = {Niharmine, L. and Outtaj, B. and Azouaoui, A.}
}
@conference {Koudougnon2014118,
	title = {A Genetic Algorithms based detector for MIMO STBC systems},
	booktitle = {WCCCS 2014 - Proceedings; 2014 5th Workshop on Codes, Cryptography and Communication Systems},
	year = {2014},
	note = {cited By 0},
	pages = {118-123},
	abstract = {This paper proposes a new STBC MIMO detector based on Genetic Algorithms (GA) that can approach the performances of an optimal detector based on the maximum likekihood dtector (MLD). This detector is a hybridization between the GA and a linear detector such as ZF or MMSE detector. The optimization of the parameters of the GA can significantly improve performances. Our detector was compared with other equivalent detectors. The results show that our proposed algorithm gives better performance. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/WCCCS.2014.7107906},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983119233\&doi=10.1109\%2fWCCCS.2014.7107906\&partnerID=40\&md5=a83799f8aa9373bdc7b5106c86a7ddc0},
	author = {Koudougnon, H. and Azouaoui, A. and Belkasmi, M.}
}
@article {Azouaoui2012,
	title = {Efficient dual domain decoding of linear block codes using genetic algorithms},
	journal = {Journal of Electrical and Computer Engineering},
	year = {2012},
	note = {cited By 1},
	doi = {10.1155/2012/503834},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859819545\&doi=10.1155\%2f2012\%2f503834\&partnerID=40\&md5=6e6f96bbb49e27882bf30fa87aebeee4},
	author = {Azouaoui, A. and Belkasmi, M. and Farchane, A.}
}
@conference {Azouaoui20121176,
	title = {A new genetic decoding of Linear Block Codes},
	booktitle = {Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012},
	year = {2012},
	note = {cited By 2},
	pages = {1176-1182},
	doi = {10.1109/ICMCS.2012.6320254},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869797472\&doi=10.1109\%2fICMCS.2012.6320254\&partnerID=40\&md5=61049c5a211ceb9447427a9468114bf1},
	author = {Azouaoui, A. and Belkasmi, M.}
}
@conference {Azouaoui2011,
	title = {A genetic algorithm to search of good double-circulant codes},
	booktitle = {International Conference on Multimedia Computing and Systems -Proceedings},
	year = {2011},
	note = {cited By 2},
	doi = {10.1109/ICMCS.2011.5945582},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79961229274\&doi=10.1109\%2fICMCS.2011.5945582\&partnerID=40\&md5=f33d2b1f9eced1a4a2448d6a0986b0d1},
	author = {Azouaoui, A. and Askali, M. and Belkasmi, M.}
}
