WorldCat Identities

Kessentini, Sameh (1983-....).

Overview
Works: 4 works in 7 publications in 2 languages and 93 library holdings
Roles: Author
Publication Timeline
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Most widely held works by Sameh Kessentini
Initiation à l'optimisation : métaheuristiques : problèmes à variables continues by Sameh Kessentini( Book )

2 editions published in 2020 in French and held by 52 WorldCat member libraries worldwide

La 4e de couverture indique : "Les métaheuristiques sont parmi les méthodes d'optimisation les plus faciles à mettre en oeuvre pour trouver la solution à des problèmes difficiles, voire impossibles, à résoudre directement, en s'inspirant de phénomènes issus de la nature et des sciences. Douze méthodes avec variantes sont présentées et les codes en Matlab/GNU octave sont donnés : GA (génétique), DE (évolution différentielle), BBO (biogéographie), RS (recuit simulé), GSO (Gravitationnel), CRO (réaction chimique), PSO (essaim de particules), LUC (lucioles), ABC (colonies d'abeilles artificielles), GWO (loup gris), ACO (colonies de fourmis), BSO (brainstorming). Elles sont caractérisées, comparées et les outils fournis permettent de les combiner, les modifier ad libitum afin de les adapter à des problèmes réels. Des applications à la thermique, l'électronique, l'agriculture, la mécanique permettent d'étendre leur domaine d'application. En particulier, les méthodes d'optimisation peuvent servir à la résolution de problème inverse, à la propagation d'incertitudes et à l'ajustement de modèle à des résultats expérimentaux."
Chapter Nanostructured Biosensors Influence of Adhesion Layer, Roughness and Size on the LSPR: A Parametric Study by Sameh Kessentini( )

2 editions published in 2013 in Undetermined and English and held by 36 WorldCat member libraries worldwide

Nanostructured Biosensors: Influence of Adhesion Layer, Roughness and Size on the LSPR: A Parametric Study by Sameh Kessentini( )

2 editions published in 2013 in English and held by 4 WorldCat member libraries worldwide

Nanostructured Biosensors: Influence of Adhesion Layer, Roughness and Size on the LSPR: A Parametric Study
Modélisation et optimisation de nanostructures plasmoniques : applications biomédicales by Sameh Kessentini( Book )

in French and held by 1 WorldCat member library worldwide

The present work deals with the modelling and optimization of the plasmonic structures: nanostructured biosensor for early disease diagnosis, and gold nanoparticles for photothermal therapy. Both structures are based on interaction with light. For modelling, the electromagnetic scattering problem is therefore solved using Mie theory and discrete dipole approximation (DDA). The numerical model is extended to take into account many parameters of biosensors. Then, the validity of the model is checked through comparison to experimental results. To optimize such problems of continuous variables, the particle swarm optimisation (PSO) is chosen. A plasmonic benchmark is introduced to test a set of algorithms and reveals some limitations. For this, we introduce a new memetic adaptive PSO (AMPSO) algorithm. The AMPSO is tested on a set of reference benchmark as well as the plasmonic benchmark and demonstrates its ability to find the global optimum solution rapidly. The optimization of biosensor shows that its sensitivity (given by the surface enhanced Raman spectroscopy gain) can be improved six times compared with the best experimental results. The optimization of nanoparticules (maximization of light absorption) reveals, as well, improved results compared to previous studies. Moreover, the optimized nanoparticles are compared to each other. Finally, the design tolerance of these nanostructures is also discussed
 
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Nanostructured Biosensors: Influence of Adhesion Layer, Roughness and Size on the LSPR: A Parametric Study
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