Publications

2018
Soraya T. Efficacité et tolérance des génériques des AAD chez les patients de l’est Algérien infectés par le VHC. 28ème congrès national de la société tunisienne de pathologies infectieuses . 2018.
Bahaz M, Benzid R. Efficient algorithm for baseline wander and powerline noise removal from ECG signals based on discrete Fourier series. Australasian Physical & Engineering Sciences in MedicineAustralasian Physical & Engineering Sciences in Medicine. 2018;41 :143–160.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.
Bahaz M, Benzid R. Efficient algorithm for baseline wander and powerline noise removal from ECG signals based on discrete Fourier series. Australasian Physical & Engineering Sciences in MedicineAustralasian Physical & Engineering Sciences in Medicine. 2018;41 :143–160.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.
Bouguerra F, Saidi L. An Efficient ANN Interference Cancelation for High Order Modulation over Rayleigh Fading Channel. Journal of Telecommunications and Information TechnologyJournal of Telecommunications and Information Technology. 2018.
Bouguerra F, Saidi L. An Efficient ANN Interference Cancelation for High Order Modulation over Rayleigh Fading Channel. Journal of Telecommunications and Information TechnologyJournal of Telecommunications and Information Technology. 2018.
Bouguerra F, Saidi L. An Efficient ANN Interference Cancellation for High Order Modulation over Rayleigh Fading Channel. Journal of Telecommunications and Information Technology (JTIT)Journal of Telecommunications and Information Technology (JTIT). 2018;8 :75-80.Abstract
High order modulation (HOM) presents a key challenge in increasing spectrum efficiency in 4G and upcoming 5G communication systems. In this paper, two non-linear adaptive equalizer techniques based on multilayer perceptron (MLP) and radial basis function (RBF) are designed and applied on HOM to optimize its performance despite its high sensitivity to noise and channel distortions. The artificial neural network’s (ANN) adaptive equalizer architectures and learning methods are simplified to avoid more complexity and to ensure greater speed in symbol decision making. They will be compared with the following popular adaptive filters: least mean square (LMS) and recursive least squares (RLS), in terms of bit error rate (BER) and minimum square error (MSE) with 16, 64, 128, 256, 512 and 1024 quadrature amplitude modulation (QAM). By that, this work will show the advantage that the MLP equalizer has, in most cases, over RBF and traditional linear equalizers. © 2018 National Institute of Telecommunications. All rights reserved.
Bouguerra F, Saidi L. An Efficient ANN Interference Cancellation for High Order Modulation over Rayleigh Fading Channel. Journal of Telecommunications and Information Technology (JTIT)Journal of Telecommunications and Information Technology (JTIT). 2018;8 :75-80.Abstract
High order modulation (HOM) presents a key challenge in increasing spectrum efficiency in 4G and upcoming 5G communication systems. In this paper, two non-linear adaptive equalizer techniques based on multilayer perceptron (MLP) and radial basis function (RBF) are designed and applied on HOM to optimize its performance despite its high sensitivity to noise and channel distortions. The artificial neural network’s (ANN) adaptive equalizer architectures and learning methods are simplified to avoid more complexity and to ensure greater speed in symbol decision making. They will be compared with the following popular adaptive filters: least mean square (LMS) and recursive least squares (RLS), in terms of bit error rate (BER) and minimum square error (MSE) with 16, 64, 128, 256, 512 and 1024 quadrature amplitude modulation (QAM). By that, this work will show the advantage that the MLP equalizer has, in most cases, over RBF and traditional linear equalizers. © 2018 National Institute of Telecommunications. All rights reserved.
Abdelkader H, Belkaid F, Bennekrouf M. Efficient Approach for Parallel Machine Scheduling Problem. International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). 2018.
Abdelkader H, Belkaid F, Bennekrouf M. Efficient Approach for Parallel Machine Scheduling Problem. International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). 2018.
Abdelkader H, Belkaid F, Bennekrouf M. Efficient Approach for Parallel Machine Scheduling Problem. International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). 2018.
Guezouli L, Bensakhria M, Abdelhamid S. Efficient golden-ball algorithm based clustering to solve the multi-depot VRP with time windows. International Journal of Applied Evolutionary Computation (IJAEC)International Journal of Applied Evolutionary Computation (IJAEC). 2018;9 :1-16.
Guezouli L, Bensakhria M, Abdelhamid S. Efficient golden-ball algorithm based clustering to solve the multi-depot VRP with time windows. International Journal of Applied Evolutionary Computation (IJAEC)International Journal of Applied Evolutionary Computation (IJAEC). 2018;9 :1-16.
Guezouli L, Bensakhria M, Abdelhamid S. Efficient golden-ball algorithm based clustering to solve the multi-depot VRP with time windows. International Journal of Applied Evolutionary Computation (IJAEC)International Journal of Applied Evolutionary Computation (IJAEC). 2018;9 :1-16.
Abderrahmane M. Elaboration and characterization byb ellipsometry of thin layers of silicon dioxide. 2018.
Nassima B. Elaboration of Al-Bent, Fe-Bent, CTAB Bent,, AL-CTAB-Bent and Fe-CTAB-Bent from algerian Bentonite clay to adsorb cationic textiles dyes. International Water Forum Conference, 19-21 Mars. 2018.
Lahrech AC, Abdelhadi B, Feliachi M, Zaoui A, Naїdjate M. Electrical conductivity identification of a carbon fiber composite material plate using a rotating magnetic field and multi-coil eddy current sensor. The European Physical Journal Applied PhysicsThe European Physical Journal Applied Physics. 2018;83 :20901.
Lahrech AC, Abdelhadi B, Feliachi M, Zaoui A, Naїdjate M. Electrical conductivity identification of a carbon fiber composite material plate using a rotating magnetic field and multi-coil eddy current sensor. The European Physical Journal Applied PhysicsThe European Physical Journal Applied Physics. 2018;83 :20901.
Lahrech AC, Abdelhadi B, Feliachi M, Zaoui A, Naїdjate M. Electrical conductivity identification of a carbon fiber composite material plate using a rotating magnetic field and multi-coil eddy current sensor. The European Physical Journal Applied PhysicsThe European Physical Journal Applied Physics. 2018;83 :20901.
Lahrech AC, Abdelhadi B, Feliachi M, Zaoui A, Naїdjate M. Electrical conductivity identification of a carbon fiber composite material plate using a rotating magnetic field and multi-coil eddy current sensor. The European Physical Journal Applied PhysicsThe European Physical Journal Applied Physics. 2018;83 :20901.
Lahrech AC, Abdelhadi B, Feliachi M, Zaoui A, Naїdjate M. Electrical conductivity identification of a carbon fiber composite material plate using a rotating magnetic field and multi-coil eddy current sensor. The European Physical Journal Applied PhysicsThe European Physical Journal Applied Physics. 2018;83 :20901.

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