Roberto Miorelli - Lab. de Simulation et de Modelisation Lectromagnetique, CEA;c

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Papers共 55 篇Author StatisticsCo-AuthorSimilar Experts

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Magnetic characterization of steel strips using transient field measurements: global sensitivity analysis and regression from a machine-learning perspective

Anastassios Skarlatos,Roberto Miorelli,Christophe Reboud, Frenk Van Den Berg

INVERSE PROBLEMSno. 4 (2024)

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Damage detection with ultrasonic guided waves using machine learning and aggregated baselines

Vivek Nerlikar,Olivier Mesnil,Roberto Miorelli,Oscar D'Almeida

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNALno. 1 (2024): 443-462

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Surface temperature measurement from infrared synthetic diagnostic in preparation for ITER operations

Marie-Helene Aumeunier, Alexis Juven, Jonathan Gerardin, Cheikh-Mamadou Bassirou Cisse, Stanislas Pamela,Roberto Miorelli, Christophe Reboud, Florent Retailleau, Julien Marot, Fabrice Rigollet, Laurent Marot

Nuclear Fusion (2024)

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A physics-embedded deep-learning framework for efficient multi-fidelity modeling applied to guided wave based structural health monitoring

Vivek Nerlikar,Roberto Miorelli,Arnaud Recoquillay,Oscar D’Almeida

Ultrasonics（2024）

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Utilisation de méthodes basées sur l’Intelligence Artificielle pour le contrôle non destructif par Rayons X

Julie Escoda,Roberto Miorelli,Caroline Vienne, Romain Vo, Etienne Decenciere, Aysun Sezer, Hervé Le Borgne, Nicolas Allezard

e-Journal of Nondestructive Testingno. 9 (2023)

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Development of AI based analysis tools for online monitoring of steel-making process

Roberto Miorelli,Anastassios Skarlatos,Christophe Reboud, Marco Vanucci,Claudio Mocci,Valentina Colla,Haibing Yang, D. Fintelman, Bernard Ennis, Frenk Van Den Berg

Research and Review Journal of Nondestructive Testingno. 1 (2023)

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Infrared measurement synthetic database for inverse thermography model based on deep learning

R. Brunet,M-H. Aumeunier,R. Miorelli,A. Juven, C. Reboud, X. Artusi,M. Le Bohec

FUSION ENGINEERING AND DESIGN（2023）

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Towards a multi-fidelity deep learning framework for a fast and realistic generation of ultrasonic multi-modal Total Focusing Method images in complex geometries

G.E. Granados,R. Miorelli, F. Gatti, S. Robert, D. Clouteau

NDT & E International (2023): 102906

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Conception assistée par simulation d’une IA pour la classification d’indications ultrasonores lors d’un contrôle TFM de soudures

Stéphane Le Berre,Xavier Artusi, Clément Fisher, David Roué,Roberto Miorelli,Pierre Calmon

e-Journal of Nondestructive Testingno. 9 (2023)

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How the EU project “Online Microstructure Analytics” advances inline sensing of microstructure during steel manufacturing

Frenk Van Den Berg, Frenk Van Den Berg, Maxim Aarnts, Haibing Yang, F Fintelman, Bernard Ennis, L Gillgren,Denis Jorge-Badiola,Ane Martinez-de-Guerenu,Claire Davis, Graeme West,Lei Zhou,

Research and Review Journal of Nondestructive Testingno. 1 (2023)

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