HOME / PUBLICATIONS /

Publications

2017
Benyoucef D, Zeroual M, BENMOUSSA H. Natural convection in tilted rectangular cavities due to bidirectional temperature gradient. International Journal of Heat and TechnologyInternational Journal of Heat and Technology. 2017;Volume 35 :Pages 883-892.
Benyoucef D, Zeroual M, BENMOUSSA H. Natural convection in tilted rectangular cavities due to bidirectional temperature gradient. International Journal of Heat and TechnologyInternational Journal of Heat and Technology. 2017;Volume 35 :Pages 883-892.
Benmenzer S, Si-Ameur M. Natural convection induced by volumetric heating in an inclined porous cavity. Computational Thermal Sciences: An International JournalComputational Thermal Sciences: An International Journal. 2017;9.
Benmenzer S, Si-Ameur M. Natural convection induced by volumetric heating in an inclined porous cavity. Computational Thermal Sciences: An International JournalComputational Thermal Sciences: An International Journal. 2017;9.
Laib H, Chaghi A, Wira P. A Neural and Fuzzy Logic Based Control Scheme for a Shunt Active Power Filter. Springer edition. Book Title: Recent Advances in Electrical Engineering and Control Applications.Springer edition. Book Title: Recent Advances in Electrical Engineering and Control Applications. 2017 :201-211.
Laib H, Chaghi A, Wira P. A Neural and Fuzzy Logic Based Control Scheme for a Shunt Active Power Filter. Springer edition. Book Title: Recent Advances in Electrical Engineering and Control Applications.Springer edition. Book Title: Recent Advances in Electrical Engineering and Control Applications. 2017 :201-211.
Laib H, Chaghi A, Wira P. A Neural and Fuzzy Logic Based Control Scheme for a Shunt Active Power Filter. Springer edition. Book Title: Recent Advances in Electrical Engineering and Control Applications.Springer edition. Book Title: Recent Advances in Electrical Engineering and Control Applications. 2017 :201-211.
Benyahia A, Tebbal S, Hadj Aissa H. Neurobrucellose à révélation inhabituelle à propos d’un cas. Troisième Journée Internationale d’Echanges en Infectiologie. 2017.
Benyahia A, Tebbal S, Hadj Aissa H. Neurobrucellose à révélation inhabituelle à propos d’un cas. Troisième Journée Internationale d’Echanges en Infectiologie. 2017.
Benyahia A, Tebbal S, Hadj Aissa H. Neurobrucellose à révélation inhabituelle à propos d’un cas. Troisième Journée Internationale d’Echanges en Infectiologie. 2017.
Gadda A. Neurocomputational model of annular-ring microstrip antenna with air gap layer. 2nd International Conference on Automatic Control, Telecommunication & Signals (ICATS’17). 2017.
Ouarlent Y. Neuropathie périphérique induite par bortézomib dans le myélome multiple. 37 éme congres de la SFH Paris 21-22 Mars. 2017.
Barkat L, BEDRA S, FORTAKI T, BEDRA R. Neurospectral computation for the resonant characteristics of microstrip patch antenna printed on uniaxially anisotropic substrates. International Journal of Microwave and Wireless TechnologiesInternational Journal of Microwave and Wireless Technologies. 2017;9 :613-620.
Lamia B, Sami B, Tarek F, Randa B. Neurospectral computation for the resonant characteristics of microstrip patch antenna printed on uniaxially anisotropic substrates, e-ISSN 1759-0795. International Journal of Microwave and Wireless TechnologiesInternational Journal of Microwave and Wireless Technologies. 2017;Volume 9 :pp 613-620.Abstract
Modeling and design of rectangular microstrip patch printed on isotropic or anisotropic substrate are accomplished in this paper. The use of spectral domain method in conjunction with artificial neural networks (ANNs) to compute the resonant characteristics of rectangular microstrip patch printed on isotropic or anisotropic substrates. The moment method implemented in the spectral domain offers good accurateness, but its computational cost is high owing to the evaluation of the slowly decaying integrals and the iterative nature of the solution process. The paper introduces the electromagnetic knowledge combined with ANN in the analysis of rectangular microstrip antenna on uniaxially anisotropic substrate to reduce the complexity of the spectral domain method and to minimize the CPU time necessary to obtain the numerical results. The numerical comparison between neurospectral and conventional moment methods shows significant improvements in time convergence and computational cost. Hence, the use of neurospectral approach presented here as a promising fast technique in the design of microstrip antennas.    
Barkat L, BEDRA S, FORTAKI T, BEDRA R. Neurospectral computation for the resonant characteristics of microstrip patch antenna printed on uniaxially anisotropic substrates. International Journal of Microwave and Wireless TechnologiesInternational Journal of Microwave and Wireless Technologies. 2017;9 :613-620.
Lamia B, Sami B, Tarek F, Randa B. Neurospectral computation for the resonant characteristics of microstrip patch antenna printed on uniaxially anisotropic substrates, e-ISSN 1759-0795. International Journal of Microwave and Wireless TechnologiesInternational Journal of Microwave and Wireless Technologies. 2017;Volume 9 :pp 613-620.Abstract
Modeling and design of rectangular microstrip patch printed on isotropic or anisotropic substrate are accomplished in this paper. The use of spectral domain method in conjunction with artificial neural networks (ANNs) to compute the resonant characteristics of rectangular microstrip patch printed on isotropic or anisotropic substrates. The moment method implemented in the spectral domain offers good accurateness, but its computational cost is high owing to the evaluation of the slowly decaying integrals and the iterative nature of the solution process. The paper introduces the electromagnetic knowledge combined with ANN in the analysis of rectangular microstrip antenna on uniaxially anisotropic substrate to reduce the complexity of the spectral domain method and to minimize the CPU time necessary to obtain the numerical results. The numerical comparison between neurospectral and conventional moment methods shows significant improvements in time convergence and computational cost. Hence, the use of neurospectral approach presented here as a promising fast technique in the design of microstrip antennas.    
Lamia B, Sami B, Tarek F, Randa B. Neurospectral computation for the resonant characteristics of microstrip patch antenna printed on uniaxially anisotropic substrates, e-ISSN 1759-0795. International Journal of Microwave and Wireless TechnologiesInternational Journal of Microwave and Wireless Technologies. 2017;Volume 9 :pp 613-620.Abstract
Modeling and design of rectangular microstrip patch printed on isotropic or anisotropic substrate are accomplished in this paper. The use of spectral domain method in conjunction with artificial neural networks (ANNs) to compute the resonant characteristics of rectangular microstrip patch printed on isotropic or anisotropic substrates. The moment method implemented in the spectral domain offers good accurateness, but its computational cost is high owing to the evaluation of the slowly decaying integrals and the iterative nature of the solution process. The paper introduces the electromagnetic knowledge combined with ANN in the analysis of rectangular microstrip antenna on uniaxially anisotropic substrate to reduce the complexity of the spectral domain method and to minimize the CPU time necessary to obtain the numerical results. The numerical comparison between neurospectral and conventional moment methods shows significant improvements in time convergence and computational cost. Hence, the use of neurospectral approach presented here as a promising fast technique in the design of microstrip antennas.    
Barkat L, BEDRA S, FORTAKI T, BEDRA R. Neurospectral computation for the resonant characteristics of microstrip patch antenna printed on uniaxially anisotropic substrates. International Journal of Microwave and Wireless TechnologiesInternational Journal of Microwave and Wireless Technologies. 2017;9 :613-620.
Lamia B, Sami B, Tarek F, Randa B. Neurospectral computation for the resonant characteristics of microstrip patch antenna printed on uniaxially anisotropic substrates, e-ISSN 1759-0795. International Journal of Microwave and Wireless TechnologiesInternational Journal of Microwave and Wireless Technologies. 2017;Volume 9 :pp 613-620.Abstract
Modeling and design of rectangular microstrip patch printed on isotropic or anisotropic substrate are accomplished in this paper. The use of spectral domain method in conjunction with artificial neural networks (ANNs) to compute the resonant characteristics of rectangular microstrip patch printed on isotropic or anisotropic substrates. The moment method implemented in the spectral domain offers good accurateness, but its computational cost is high owing to the evaluation of the slowly decaying integrals and the iterative nature of the solution process. The paper introduces the electromagnetic knowledge combined with ANN in the analysis of rectangular microstrip antenna on uniaxially anisotropic substrate to reduce the complexity of the spectral domain method and to minimize the CPU time necessary to obtain the numerical results. The numerical comparison between neurospectral and conventional moment methods shows significant improvements in time convergence and computational cost. Hence, the use of neurospectral approach presented here as a promising fast technique in the design of microstrip antennas.    
Barkat L, BEDRA S, FORTAKI T, BEDRA R. Neurospectral computation for the resonant characteristics of microstrip patch antenna printed on uniaxially anisotropic substrates. International Journal of Microwave and Wireless TechnologiesInternational Journal of Microwave and Wireless Technologies. 2017;9 :613-620.

Pages