@conference {Rassam202278,
	title = {Fuzzy Logic-based N-gram Graph Technique for Evaluating Textual Documents Indexes},
	booktitle = {2022 4th International Conference on Computer Communication and the Internet, ICCCI 2022},
	year = {2022},
	note = {cited By 0},
	pages = {78-82},
	abstract = {Fuzzy logic is a term that is used more and more often by researchers specialized in information retrieval and indexing. It is supposed to fill the gaps of the current domain by adding meaning to the information. In this article, the main goal is introducing the fuzzy logic approach in the field of the representation of a corpus of documents, more precisely in the proposal of a new method based on fuzzy functions that allow the evaluation of the generated indexes of a specific corpus.The evaluation is based on calculating the degrees of relevance of a term in relation to another whether it is in the same document of the corpus or in two or more completely different documents of the same corpus. {\textcopyright} 2022 IEEE.},
	keywords = {{\textquoteright}current, Computer circuits, Degree of relevance, Fuzzy function, Fuzzy logic, Fuzzy logic approach, Fuzzy-Logic, Graph technique, Indexing, Indexing (of information), N-grams, Textual documents},
	doi = {10.1109/ICCCI55554.2022.9850268},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137083735\&doi=10.1109\%2fICCCI55554.2022.9850268\&partnerID=40\&md5=3d771186a1a254dd249e3647a64918b2},
	author = {Rassam, L. and Aldiebesghanem, C. and Zellou, A. and Lahmar, E.B.}
}
@article {Labghough2022,
	title = {Mixed RF/FSO SWIPT-based OSLMD Coded AF Cooperative Communication System: Performance Analysis},
	journal = {IEEE Transactions on Green Communications and Networking},
	year = {2022},
	note = {cited By 0},
	pages = {1-1},
	abstract = {In this paper, the performance analysis of simultaneous wireless information and power transfer (SWIPT) using time switching (TS) protocol-based amplify-and-forward (AF) dual-hop mixed radio-frequency/free-space optic (RF/FSO) coded and uncoded communication system (CC and UC) is investigated. Specifically, we look at using the One-Step Majority-Logic Decodable (OSMLD) codes at the source and a majority logic decoding algorithm (MLGD) at the destination, jointly with the use of maximal-ratio combining and SWIPT/TS techniques at the relay. Furthermore, the RF link undergoes Nakagami-m model, while the second-hop is subject to M\&$\#$x00E1;laga-M atmospheric turbulence with the effect of pointing errors. Closed-form and asymptotic formulations for the average bit error probability (ABEP) are obtained in terms of the system parameters for both CC and UC scenarios in addition of the average channel capacity analysis. Computer-based Monte Carlo simulations were used to numerically validate all of the obtained mathematical formulations. Expectedly, it is shown that significant coding gains are achieved using OSMLD codes in comparison with UC. In addition, above a specific threshold of energy efficiency, the system performance gets steady in the high signal-to-noise-ratio regime. Moreover, the decoding method used in this work has been shown to be suitable for the SWIPT/TS-assisted RF/FSO coded AF cooperative communication system where high performance alongside low computational complexity are required. IEEE},
	keywords = {Average bit error probability, Bit error rate, Code, Communications systems, Computer circuits, Cooperative communication, Decodable codes, Decoding, Decoding algorithm, energy efficiency, Energy harvesting, Energy transfer, Errors, Fading channels, Fadings channels, Freespace optics, Intelligent systems, Majority logic decoding, Majority logic decoding algorithm decoding, Malagum-M channel, Maximal-ratio combining, Mixed radio-frequency/free-space optic system, Monte Carlo methods, Nakagami-m fading channels, One-step majority-logic decodable code., Optics systems, Probability, Radiofrequencies, Relay, Signal to noise ratio},
	doi = {10.1109/TGCN.2022.3207096},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139431588\&doi=10.1109\%2fTGCN.2022.3207096\&partnerID=40\&md5=5e23fc48b261f30bd3d69e9c937abedb},
	author = {Labghough, S. and Ayoub, F. and Bouanani, F.E. and Belkasmi, M. and Qaraqe, K.A.}
}
@article {Yatribi2020,
	title = {Gradient-descent decoding of one-step majority-logic decodable codes},
	journal = {Physical Communication},
	volume = {39},
	year = {2020},
	note = {cited By 1},
	abstract = {In this paper, a new low-complexity gradient-descent based iterative majority-logic decoder (GD-MLGD) is proposed for decoding One-Step Majority-Logic Decodable (OSMLD) codes. We give a formulation of the decoding problem of binary OSMLD codes, as a maximization problem of a derivable objective function. The optimization problem is solved using a pseudo gradient-descent algorithm, which performs iteratively an update towards the optimal estimated codeword been transmitted, based on the first-order partial derivatives of each variable calculated in the previous iteration. The proposed decoding scheme achieves a fast convergence to an optimum codeword compared to other decoding techniques reviewed in this paper, at the cost of lower computational complexity. The quantized version (QGD-MLGD) is also proposed in order to further reduce the computational complexity. Simulation results show that the proposed decoding algorithms outperform all the existing majority-logic decoding schemes, and also various gradient-descent based bit-flipping algorithms, and performs nearly close to the belief propagation sum{\textendash}product (BP-SP) decoding algorithm of LDPC codes, especially for high code lengths, providing an efficient trade-off between performance and decoding complexity. Moreover, the proposed quantized algorithm has shown to perform better than all the existing decoding techniques. The proposed decoding algorithms have shown to be suitable for ultra reliable, low latency and energy-constrained communication systems where both high performances and low-complexity are required. {\textcopyright} 2020 Elsevier B.V.},
	keywords = {AWGN channel, Backpropagation, Computational complexity, Computer circuits, Decoding complexity, Difference sets, Economic and social effects, Electronic trading, Gradient descent, Gradient methods, Iterative decoding, LDPC codes, Majority logic, Majority logic decoding, Maximum likelihood, Maximum likelihood decoding, Optimization, OSMLD codes},
	doi = {10.1016/j.phycom.2019.100999},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077749482\&doi=10.1016\%2fj.phycom.2019.100999\&partnerID=40\&md5=830156cfb12a8ec3dbff2e002b3ade63},
	author = {Yatribi, A. and Belkasmi, M. and Ayoub, F.}
}
