@article {62748,
	title = {A Fast Firefly Algorithm for Function Optimization: Application to the Control of BLDC Motor},
	journal = {SensorsSensors},
	volume = {21},
	year = {2021},
	month = {2021},
	pages = {5267},
	author = {Bazi, Smail and Benzid, Redha and Bazi, Yakoub and Rahhal, Mohamd Mahmoud Al}
}
@article {62616,
	title = {A multistage algorithm design for electrocardiogram signal denoising},
	journal = {Journal of Circuits, Systems and ComputersJournal of Circuits, Systems and Computers},
	volume = {30},
	year = {2021},
	month = {2021},
	pages = {2150061},
	isbn = {0218-1266},
	author = {Harkat, Amel and Benzid, Redha and Athamena, Noureddine}
}
@article {62993,
	title = {New Thresholding Technique in DCT Domain for Interference Mitigation in GNSS Receivers.},
	journal = {Traitement du SignalTraitement du Signal},
	volume = {37},
	year = {2020},
	month = {2020},
	isbn = {0765-0019},
	author = {Khezzar, Zaki Aissam and Benzid, Redha and Saidi, Lamir}
}
@article {61589,
	title = {New Thresholding Technique in DCT Domain for Interference Mitigation in GNSS Receivers New Thresholding Technique in DCT Domain for Interference Mitigation in GNSS Receivers},
	year = {2020},
	author = {Khezzar, Zaki Aissam and Benzid, Redha and Saidi, Lamir}
}
@article {63512,
	title = {A Generalized and Parallelized SSIM-Based Multilevel Thresholding Algorithm},
	journal = {Applied Artificial IntelligenceApplied Artificial Intelligence},
	volume = {33},
	year = {2019},
	month = {2019},
	pages = {1266-1289},
	abstract = {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.},
	author = {Boubechal, Ikram and Rachid, Seghir and Benzid, Redha}
}
@article {65120,
	title = {Efficient algorithm for baseline wander and powerline noise removal from ECG signals based on discrete Fourier series},
	journal = {Australasian Physical \& Engineering Sciences in MedicineAustralasian Physical \& Engineering Sciences in Medicine},
	volume = {41},
	year = {2018},
	month = {2018},
	pages = {143{\textendash}160},
	abstract = {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.},
	author = {Bahaz, Mohamed and Benzid, Redha}
}
@article {64817,
	title = {Progressive image secret sharing scheme based on Boolean operations with perfect reconstruction capability},
	journal = {Information Security Journal: A Global PerspectiveInformation Security Journal: A Global Perspective},
	volume = {27},
	year = {2018},
	month = {2018},
	pages = {14-28},
	abstract = {Unlike traditional visual cryptography based on a threshold mechanism in which the secret image can be revealed by stacking\&nbsp;k,(2,
	author = {Merabet, Nour-El-Houda-Asma and Benzid, Redha}
}
@article {64521,
	title = {Multilevel inverter with optimal THD through the firefly algorithm},
	journal = {Archives of Electrical EngineeringArchives of Electrical Engineering},
	volume = {66},
	year = {2017},
	month = {2017},
	pages = {141{\textendash}154},
	abstract = {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.},
	author = {Belkacem, Riadh-El-Mehdi and Benzid, Redha and Bouguechal, Nour Eddine}
}
@article {65530,
	title = {Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis},
	journal = {Journal of Information Processing SystemsJournal of Information Processing Systems},
	volume = {12},
	year = {2016},
	month = {2016},
	pages = {392-409},
	abstract = {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.},
	author = {Boussaad, Leila and Benmohammed, Mohamed and Benzid, Redha}
}
@article {67009,
	title = {A Comparative Study of Well-known SVD-based Image Watermarking},
	journal = {Models \& Optimisation and Mathematical Analysis JournalModels \& Optimisation and Mathematical Analysis Journal},
	volume = {1},
	year = {2012},
	month = {2012},
	pages = {18-24},
	isbn = {2588-2112},
	author = {Gol{\'e}a, Nour El-Houda and Seghir, Rachid and Benzid, Redha}
}
@article {67056,
	title = {Effective PCG signals compression technique using an enhanced 1-D EZW},
	year = {2012},
	month = {2012},
	author = {Boukhennoufa, Nabil and Benmahammed, Khier and Benzid, Redha}
}
@article {61511,
	title = {Effective PCG Signals Compression Technique Using an Enhanced},
	journal = {International Journal of Advanced Science and Technology },
	volume = {48},
	year = {2012},
	abstract = {
	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{\textquoteright}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.

},
	url = {https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.642.6306\&rep=rep1\&type=pdf},
	author = {Boukhennoufa, Nabil and Benmahammed, Khier and Benzid, Redha}
}
@article {67291,
	title = {Color image compression algorithm based on the DCT transform combined to an adaptive block scanning},
	journal = {AEU-International Journal of Electronics and CommunicationsAEU-International Journal of Electronics and Communications},
	volume = {65},
	year = {2011},
	month = {2011},
	pages = {16-26},
	isbn = {1434-8411},
	author = {Fouzi Douak and Benzid, Redha and Nabil Benoudjit}
}
@article {67521,
	title = {An approach based on particle swarm computation to study the nanoscale DG MOSFET-based circuits},
	journal = {TURKISH JOURNAL OF ELECTRICAL ENGINEERING \& COMPUTER SCIENCESTURKISH JOURNAL OF ELECTRICAL ENGINEERING \& COMPUTER SCIENCES},
	volume = {18},
	year = {2010},
	month = {2010},
	pages = {1131-1141},
	isbn = {1300-0632},
	author = {DJEFFAL, FAYACL and Toufik BENDIB and Benzid, Redha and Benhaya, Abdelhamid}
}
@proceedings {67512,
	title = {A bind RGB color image watermarking based on singular value decomposition},
	journal = {ACS/IEEE International Conference on Computer Systems and Applications-AICCSA 2010},
	year = {2010},
	month = {2010},
	pages = {1-5},
	publisher = {IEEE},
	isbn = {1-4244-7717-4},
	author = {Gol{\'e}a, Nour El-Houda and Seghir, Rachid and Benzid, Redha}
}
@article {62257,
	title = {Constrained ECG compression algorithm using the block-based discrete cosine transform},
	journal = {Digital Signal ProcessingDigital Signal Processing},
	volume = {18},
	year = {2008},
	month = {2008},
	pages = {56-64},
	isbn = {1051-2004},
	author = {Benzid, Redha and Messaoudi, Abdelhamid and Boussaad, Abdelmalek}
}
@proceedings {62256,
	title = {A fast technique for gray level image thresholding and quantization based on the entropy maximization},
	journal = {2008 5th International Multi-Conference on Systems, Signals and Devices},
	year = {2008},
	month = {2008},
	pages = {1-4},
	publisher = {IEEE},
	isbn = {1-4244-2205-1},
	author = {Benzid, Redha and Arar, Djemai and Bentoumi, Miloud}
}
@article {62123,
	title = {Electrocardiogram compression method based on the adaptive wavelet coefficients quantization combined to a modified two-role encoder},
	journal = {IEEE Signal Processing LettersIEEE Signal Processing Letters},
	volume = {14},
	year = {2007},
	month = {2007},
	pages = {373-376},
	isbn = {1070-9908},
	author = {Benzid, Redha and Marir, Farhi and Bouguechal, N-E}
}
@article {62185,
	title = {Near-lossless spread spectrum watermarking for multispectral remote sensing images},
	journal = {Journal of applied remote sensingJournal of applied remote sensing},
	volume = {1},
	year = {2007},
	month = {2007},
	pages = {013501},
	isbn = {1931-3195},
	author = {Farid Melgani and Benzid, Redha and De Natale, Francesco GB}
}
@article {62023,
	title = {Quality-controlled compression method using wavelet transform for electrocardiogram signals},
	journal = {International Journal of Biomedical SciencesInternational Journal of Biomedical Sciences},
	volume = {1},
	year = {2006},
	month = {2006},
	pages = {1306-1216},
	author = {Benzid, Redha and MARIR, Farid and Bouguechal, Nour-Eddine}
}
@proceedings {61981,
	title = {A near-lossless spread spectrum watermarking technique for remote sensing imagery},
	journal = {Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS{\textquoteright}05.},
	volume = {5},
	year = {2005},
	month = {2005},
	pages = {3231-3234},
	publisher = {IEEE},
	isbn = {0-7803-9050-4},
	author = {Farid Melgani and Benzid, Redha}
}
