<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bazi, Smail</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author><author><style face="normal" font="default" size="100%">Bazi, Yakoub</style></author><author><style face="normal" font="default" size="100%">Rahhal, Mohamd Mahmoud Al</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Fast Firefly Algorithm for Function Optimization: Application to the Control of BLDC Motor</style></title><secondary-title><style face="normal" font="default" size="100%">SensorsSensors</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">16</style></number><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">5267</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Harkat, Amel</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author><author><style face="normal" font="default" size="100%">Athamena, Noureddine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A multistage algorithm design for electrocardiogram signal denoising</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Circuits, Systems and ComputersJournal of Circuits, Systems and Computers</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">04</style></number><volume><style face="normal" font="default" size="100%">30</style></volume><pages><style face="normal" font="default" size="100%">2150061</style></pages><isbn><style face="normal" font="default" size="100%">0218-1266</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Khezzar, Zaki Aissam</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author><author><style face="normal" font="default" size="100%">Saidi, Lamir</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">New Thresholding Technique in DCT Domain for Interference Mitigation in GNSS Receivers.</style></title><secondary-title><style face="normal" font="default" size="100%">Traitement du SignalTraitement du Signal</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">2</style></number><volume><style face="normal" font="default" size="100%">37</style></volume><isbn><style face="normal" font="default" size="100%">0765-0019</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Khezzar, Zaki Aissam</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author><author><style face="normal" font="default" size="100%">Saidi, Lamir</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">New Thresholding Technique in DCT Domain for Interference Mitigation in GNSS Receivers New Thresholding Technique in DCT Domain for Interference Mitigation in GNSS Receivers</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boubechal, Ikram</style></author><author><style face="normal" font="default" size="100%">Rachid, Seghir</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Generalized and Parallelized SSIM-Based Multilevel Thresholding Algorithm</style></title><secondary-title><style face="normal" font="default" size="100%">Applied Artificial IntelligenceApplied Artificial Intelligence</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2019</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">14</style></number><volume><style face="normal" font="default" size="100%">33</style></volume><pages><style face="normal" font="default" size="100%">1266-1289</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Multilevel thresholding is a widely used technique to perform image segmentation. It consists of dividing an input image into several distinct regions by finding the optimal thresholds according to a certain objective function. In this work, we generalize the use of the SSIM quality measure as an objective function to solve the multilevel thresholding problem using empirically tuned swarm intelligence algorithms. The experimental study we have conducted shows that our approach, producing near-exact solutions, is more effective compared to the state-of-the-art methods. Moreover, we show that the computation complexity has been significantly reduced by adopting a shared-memory parallel programming paradigm for all the algorithms we have implemented.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bahaz, Mohamed</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Efficient algorithm for baseline wander and powerline noise removal from ECG signals based on discrete Fourier series</style></title><secondary-title><style face="normal" font="default" size="100%">Australasian Physical &amp; Engineering Sciences in MedicineAustralasian Physical &amp; Engineering Sciences in Medicine</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2018</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">41</style></volume><pages><style face="normal" font="default" size="100%">143–160</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Electrocardiogram (ECG) signals are often contaminated with artefacts and noises which can lead to incorrect diagnosis when they are visually inspected by cardiologists. In this paper, the well-known discrete Fourier series (DFS) is re-explored and an efficient DFS-based method is proposed to reduce contribution of both baseline wander (BW) and powerline interference (PLI) noises in ECG records. In the first step, the determination of the exact number of low frequency harmonics contributing in BW is achieved. Next, the baseline drift is estimated by the sum of all associated Fourier sinusoids components. Then, the baseline shift is discarded efficiently by a subtraction of its approximated version from the original biased ECG signal. Concerning the PLI, the subtraction of the contributing harmonics calculated in the same manner reduces efficiently such type of noise. In addition of visual quality results, the proposed algorithm shows superior performance in terms of higher signal-to-noise ratio and smaller mean square error when faced to the DCT-based algorithm.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Merabet, Nour-El-Houda-Asma</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Progressive image secret sharing scheme based on Boolean operations with perfect reconstruction capability</style></title><secondary-title><style face="normal" font="default" size="100%">Information Security Journal: A Global PerspectiveInformation Security Journal: A Global Perspective</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2018</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">27</style></volume><pages><style face="normal" font="default" size="100%">14-28</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Unlike traditional visual cryptography based on a threshold mechanism in which the secret image can be revealed by stacking&amp;nbsp;k,(2&lt;=k&lt;=n)&amp;nbsp;shadows or more. In our suggested (kk,nn) progressive secret sharing scheme with unexpanded pixel, we could obtain until&amp;nbsp;n-1n-1&amp;nbsp;revealed secret images with progressive enhanced contrast in an increasing way from the lowest quality, in the case of stacking two shares, to a highest quality in the case of stacking all the&amp;nbsp;nn&amp;nbsp;shares. Our scheme not only has the advantage of the unexpanded shares, but also the use of very simple Boolean XOR and OR operations to recover the secret image perfectly. Moreover, the proposed scheme does not need any codebooks to construct shares. The experimental results indicate the privilege of our method compared with the other related work.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Belkacem, Riadh-El-Mehdi</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author><author><style face="normal" font="default" size="100%">Bouguechal, Nour Eddine</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multilevel inverter with optimal THD through the firefly algorithm</style></title><secondary-title><style face="normal" font="default" size="100%">Archives of Electrical EngineeringArchives of Electrical Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2017</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">66</style></volume><pages><style face="normal" font="default" size="100%">141–154</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Reduction of the Total Harmonic Distortion (THD) in multilevel inverters requires resolution of complex nonlinear transcendental equations; in this paper we propose a combination of one of the best existing optimized hardware structures with the recent firefly algorithm, which was used to optimize the THD, through finding the best switching angles and guaranteeing the minimization of harmonics within a user defined bandwidth. The obtained THD through the simulation of the thirteen-level symmetric inverter has been reduced down to 5% (FFT of 60 harmonics). In order to validate the simulation results, a thirteen-level symmetric inverter prototype has been made, and practically experimented and tested with different loads. Consequently, the measured THD with resistive load was 4.7% on a bandwidth of 3 kHz. The main advantage of the achieved work is the reduction of the THD.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boussaad, Leila</style></author><author><style face="normal" font="default" size="100%">Benmohammed, Mohamed</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Information Processing SystemsJournal of Information Processing Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2016</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">3</style></number><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">392-409</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The aim of this paper is to examine the effectiveness of combining three popular tools used in pattern recognition, which are the Active Appearance Model (AAM), the two-dimensional discrete cosine transform (2D-DCT), and Kernel Fisher Analysis (KFA), for face recognition across age variations. For this purpose, we first used AAM to generate an AAM-based face representation; then, we applied 2D-DCT to get the descriptor of the image; and finally, we used a multiclass KFA for dimension reduction. Classification was made through a K-nearest neighbor classifier, based on Euclidean distance. Our experimental results on face images, which were obtained from the publicly available FG-NET face database, showed that the proposed descriptor worked satisfactorily for both face identification and verification across age progression.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Goléa, Nour El-Houda</style></author><author><style face="normal" font="default" size="100%">Seghir, Rachid</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Comparative Study of Well-known SVD-based Image Watermarking</style></title><secondary-title><style face="normal" font="default" size="100%">Models &amp; Optimisation and Mathematical Analysis JournalModels &amp; Optimisation and Mathematical Analysis Journal</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">1</style></volume><pages><style face="normal" font="default" size="100%">18-24</style></pages><isbn><style face="normal" font="default" size="100%">2588-2112</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boukhennoufa, Nabil</style></author><author><style face="normal" font="default" size="100%">Benmahammed, Khier</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Effective PCG signals compression technique using an enhanced 1-D EZW</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boukhennoufa, Nabil</style></author><author><style face="normal" font="default" size="100%">Benmahammed, Khier</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Effective PCG Signals Compression Technique Using an Enhanced</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Advanced Science and Technology </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.642.6306&amp;rep=rep1&amp;type=pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">48</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	This paper presents an Enhanced version of the Embedded Zerotree Wavelet (EEZW) dedicated to Phonocardiogram (PCG) compression. This algorithm is constituted of six steps: applying Discrete Wavelet Transform, uniform scalar quantizing, creating dominant and subordinate lists, generating preliminary symbol stream and finally using arithmetic coding. The compression algorithm has been tested and evaluated by its application on several databases. The adapted 1-D algorithm shows better performance than the original EZW, the modified Ouafi’s EZW (MEZW) and the popular MP3 audio-specific format, regarding to the well-known trade-off rate/distortion. Also a low computational complexity of our method is obtained. It is due to the only one time subordinate pass calculated one time after the achievement of all dominant passes.
&lt;/p&gt;
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size="100%">2011</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">65</style></volume><pages><style face="normal" font="default" size="100%">16-26</style></pages><isbn><style face="normal" font="default" size="100%">1434-8411</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">DJEFFAL, FAYACL</style></author><author><style face="normal" font="default" size="100%">Toufik BENDIB</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author><author><style face="normal" font="default" size="100%">Benhaya, Abdelhamid</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An approach based on particle swarm computation to study the nanoscale DG MOSFET-based circuits</style></title><secondary-title><style face="normal" font="default" size="100%">TURKISH JOURNAL OF ELECTRICAL ENGINEERING &amp; COMPUTER SCIENCESTURKISH JOURNAL OF ELECTRICAL ENGINEERING &amp; COMPUTER SCIENCES</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">6</style></number><volume><style face="normal" font="default" size="100%">18</style></volume><pages><style face="normal" font="default" size="100%">1131-1141</style></pages><isbn><style face="normal" font="default" size="100%">1300-0632</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Goléa, Nour El-Houda</style></author><author><style face="normal" font="default" size="100%">Seghir, Rachid</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A bind RGB color image watermarking based on singular value decomposition</style></title><secondary-title><style face="normal" font="default" size="100%">ACS/IEEE International Conference on Computer Systems and Applications-AICCSA 2010</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">1-5</style></pages><isbn><style face="normal" font="default" size="100%">1-4244-7717-4</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author><author><style face="normal" font="default" size="100%">Messaoudi, Abdelhamid</style></author><author><style face="normal" font="default" size="100%">Boussaad, Abdelmalek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Constrained ECG compression algorithm using the block-based discrete cosine transform</style></title><secondary-title><style face="normal" font="default" size="100%">Digital Signal ProcessingDigital Signal Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">18</style></volume><pages><style face="normal" font="default" size="100%">56-64</style></pages><isbn><style face="normal" font="default" size="100%">1051-2004</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author><author><style face="normal" font="default" size="100%">Arar, Djemai</style></author><author><style face="normal" font="default" size="100%">Bentoumi, Miloud</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A fast technique for gray level image thresholding and quantization based on the entropy maximization</style></title><secondary-title><style face="normal" font="default" size="100%">2008 5th International Multi-Conference on Systems, Signals and Devices</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">1-4</style></pages><isbn><style face="normal" font="default" size="100%">1-4244-2205-1</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benzid, 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size="100%">373-376</style></pages><isbn><style face="normal" font="default" size="100%">1070-9908</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Farid Melgani</style></author><author><style face="normal" font="default" size="100%">Benzid, Redha</style></author><author><style face="normal" font="default" size="100%">De Natale, Francesco GB</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Near-lossless spread spectrum watermarking for multispectral remote sensing images</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of applied remote sensingJournal of applied remote sensing</style></secondary-title></titles><dates><year><style  face="normal" font="default" 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