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Search results for: Besma Belhadj

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class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Besma Belhadj"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 3</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Besma Belhadj</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Internal Migration and Poverty Dynamic Analysis Using a Bayesian Approach: The Tunisian Case</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Amal%20Jmaii">Amal Jmaii</a>, <a href="https://publications.waset.org/search?q=Damien%20Rousseliere"> Damien Rousseliere</a>, <a href="https://publications.waset.org/search?q=Besma%20Belhadj"> Besma Belhadj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We explore the relationship between internal migration and poverty in Tunisia. We present a methodology combining potential outcomes approach with multiple imputation to highlight the effect of internal migration on poverty states. We find that probability of being poor decreases when leaving the poorest regions (the west areas) to the richer regions (greater Tunis and the east regions). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Internal%20migration" title="Internal migration">Internal migration</a>, <a href="https://publications.waset.org/search?q=Bayesian%20approach" title=" Bayesian approach"> Bayesian approach</a>, <a href="https://publications.waset.org/search?q=poverty%0D%0Adynamics" title=" poverty dynamics"> poverty dynamics</a>, <a href="https://publications.waset.org/search?q=Tunisia." title=" Tunisia."> Tunisia.</a> </p> <a href="https://publications.waset.org/10006297/internal-migration-and-poverty-dynamic-analysis-using-a-bayesian-approach-the-tunisian-case" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10006297/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10006297/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10006297/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10006297/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10006297/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10006297/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10006297/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10006297/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10006297/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10006297/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10006297.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">934</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Study of a Fabry-Perot Resonator</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=F.%20Hadjaj">F. Hadjaj</a>, <a href="https://publications.waset.org/search?q=A.%20Belghachi"> A. Belghachi</a>, <a href="https://publications.waset.org/search?q=A.%20Halmaoui"> A. Halmaoui</a>, <a href="https://publications.waset.org/search?q=M.%20Belhadj"> M. Belhadj</a>, <a href="https://publications.waset.org/search?q=H.%20Mazouz"> H. Mazouz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>A laser is essentially an optical oscillator consisting of a resonant cavity, an amplifying medium and a pumping source. In semiconductor diode lasers, the cavity is created by the boundary between the cleaved face of the semiconductor crystal and air, and has reflective properties as a result of the differing refractive indices of the two media. For a GaAs-air interface a reflectance of 0.3 is typical and therefore the length of the semiconductor junction forms the resonant cavity. To prevent light being emitted in unwanted directions from the junction, sides perpendicular to the required direction are roughened. The objective of this work is to simulate the optical resonator Fabry-Perot and explore its main characteristics, such as FSR, finesse, linewidth, transmission and so on, that describe the performance of resonator.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Fabry-Perot%20Resonator" title="Fabry-Perot Resonator">Fabry-Perot Resonator</a>, <a href="https://publications.waset.org/search?q=laser%20diode." title=" laser diode."> laser diode.</a> </p> <a href="https://publications.waset.org/9996849/study-of-a-fabry-perot-resonator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9996849/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9996849/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9996849/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9996849/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9996849/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9996849/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9996849/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9996849/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9996849/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9996849/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9996849.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">8964</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Development of a Neural Network based Algorithm for Multi-Scale Roughness Parameters and Soil Moisture Retrieval</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=L.%20Bennaceur%20Farah">L. Bennaceur Farah</a>, <a href="https://publications.waset.org/search?q=I.%20R.%20Farah"> I. R. Farah</a>, <a href="https://publications.waset.org/search?q=R.%20Bennaceur"> R. Bennaceur</a>, <a href="https://publications.waset.org/search?q=Z.%20Belhadj"> Z. Belhadj</a>, <a href="https://publications.waset.org/search?q=M.%20R.%20Boussema"> M. R. Boussema</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The overall objective of this paper is to retrieve soil surfaces parameters namely, roughness and soil moisture related to the dielectric constant by inverting the radar backscattered signal from natural soil surfaces. Because the classical description of roughness using statistical parameters like the correlation length doesn't lead to satisfactory results to predict radar backscattering, we used a multi-scale roughness description using the wavelet transform and the Mallat algorithm. In this description, the surface is considered as a superposition of a finite number of one-dimensional Gaussian processes each having a spatial scale. A second step in this study consisted in adapting a direct model simulating radar backscattering namely the small perturbation model to this multi-scale surface description. We investigated the impact of this description on radar backscattering through a sensitivity analysis of backscattering coefficient to the multi-scale roughness parameters. To perform the inversion of the small perturbation multi-scale scattering model (MLS SPM) we used a multi-layer neural network architecture trained by backpropagation learning rule. The inversion leads to satisfactory results with a relative uncertainty of 8%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Remote%20sensing" title="Remote sensing">Remote sensing</a>, <a href="https://publications.waset.org/search?q=rough%20surfaces" title=" rough surfaces"> rough surfaces</a>, <a href="https://publications.waset.org/search?q=inverse%20problems" title=" inverse problems"> inverse problems</a>, <a href="https://publications.waset.org/search?q=SAR" title=" SAR"> SAR</a>, <a href="https://publications.waset.org/search?q=radar%20scattering" title=" radar scattering"> radar scattering</a>, <a href="https://publications.waset.org/search?q=Neural%20networks%20and%20Fractals." title=" Neural networks and Fractals."> Neural networks and Fractals.</a> </p> <a href="https://publications.waset.org/11148/development-of-a-neural-network-based-algorithm-for-multi-scale-roughness-parameters-and-soil-moisture-retrieval" class="btn 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