Marco Salucci
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Documents
Présentation
Marco Salucci received the M.S. degree in Telecommunication Engineering from the University of Trento, Italy, in 2011, and the PhD degree from the International Doctoral School in Information and Communication Technology of Trento in 2014. From December 2014 he is a Post Doc Researcher in the SIRENA project (2014-2017) funded by DIGITEO (France). He is a permanent member of the ELEDIA Research Center and from 2014 the technical director of the ELEDIA Offshore-Lab @ Laboratoire des Signaux et Systèmes (L2S). He is also a member of the COST Action TU1208 "Civil Engineering Applications of Ground Penetrating Radar". His research activities are mainly concerned with inverse scattering, antenna synthesis, and computational electromagnetics with focus on system-by-design methodologies aimed at "integrating" optimization techniques and Learning-by-Examples (LBE) methods for real-world applications.
Marco Salucci received the M.S. degree in Telecommunication Engineering from the University of Trento, Italy, in 2011, and the PhD degree from the International Doctoral School in Information and Communication Technology of Trento in 2014. From December 2014 he is a Post Doc Researcher in the SIRENA project (2014-2017) funded by DIGITEO (France). He is a permanent member of the ELEDIA Research Center and from 2014 the technical director of the ELEDIA Offshore-Lab @ Laboratoire des Signaux et Systèmes (L2S). He is also a member of the COST Action TU1208 "Civil Engineering Applications of Ground Penetrating Radar". His research activities are mainly concerned with inverse scattering, antenna synthesis, and computational electromagnetics with focus on system-by-design methodologies aimed at "integrating" optimization techniques and Learning-by-Examples (LBE) methods for real-world applications.
Publications
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A nonlinear Kernel-based adaptive learning-by-examples method for robust NDT/NDE of conductive tubesJournal of Electromagnetic Waves and Applications, 2019, 33 (6), pp.669-696. ⟨10.1080/09205071.2019.1572546⟩
Article dans une revue
hal-02082846v1
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Real time groove characterization combining partial least squares and SVR strategies: application to eddy current testingJournal of Physics: Conference Series, 2017, 904, ⟨10.1088/1742-6596/904/1/012017⟩
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hal-01767358v1
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Real-Time NDT-NDE Through an Innovative Adaptive Partial Least Squares SVR Inversion ApproachIEEE Transactions on Antennas and Propagation, 2016, 54 (11), pp.6818 - 6832. ⟨10.1109/TGRS.2016.2591439⟩
Article dans une revue
hal-01570179v1
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Real time groove characterization combining partial least squares and SVR strategies: application to eddy current testingInternational Workshop on New Computational Methods for Inverse Problems (NCMIP 2017), Jun 2017, Cachan, France
Communication dans un congrès
hal-01768554v1
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Real-time crack characterization in conductive tubes through an adaptive partial least squares approach2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, IEEE, Jul 2017, San Diego, United States. pp.21-22, ⟨10.1109/APUSNCURSINRSM.2017.8072053⟩
Communication dans un congrès
hal-01767569v1
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SVR-based inversion of eddy current probe impedance data for crack reconstruction within complex structuresProc. URSI-France 2015 Scientific Days “Probing matter with Electromagnetic Waves”, Mar 2015, Paris, France
Communication dans un congrès
hal-01264427v1
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A learning-by-examples approach for non-destructive localization and characterization of defects through eddy current testing measurements 2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, Jul 2015, Vancouver, Canada. ⟨10.1109/APS.2015.7304837⟩
Communication dans un congrès
hal-01264448v1
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