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Briand W., Rébillat M., Guskov M., Mechbal N. Damage Size Quantification Using Lamb Waves by Analytical Model Identification (2023) Lecture Notes in Civil Engineering, 270 LNCE, pp. 119 - 127, 
DOI: 10.1007/978-3-031-07322-9_13

Ghnatios C.  First Steps in Probabilistic Hybrid Twin Extrapolation Based on Nonparametric Probabilistic Method and Machine Learning Algorithms (2023) 2023 5th International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2023, pp. 36 - 40,
DOI: 10.1109/ACTEA58025.2023.10194074

Husain S., Rébillat M., Ababsa F. Image processing through deep learning after di extraction for the SHM of aeronautic composite structures using Lamb waves (2023) Proceedings of SPIE - The International Society for Optical Engineering, 12749, art. no. 1274910, 
DOI: 10.1117/12.2692632

Mailhe C., Ammar A., Chinesta F. On the use of synthetic images in deep learning for defect recognition in industrial infrastructures (2023) ACM International Conference Proceeding Series, pp. 81 - 87
DOI: 10.1145/3589572.3589584

Postorino H., Monteiro E., Rebillat M., Mechbal N. Experimental Damage Localization and Quantification with a Numerically Trained Convolutional Neural Network (2023) Lecture Notes in Civil Engineering, 270 LNCE, pp. 401 - 407, 
DOI: 10.1007/978-3-031-07322-9_41

Raffestin M., Urville C., Lorong P., Guskov M. Battery Tray Fixture Stiffness and Damping Modeling for Surface Quality Prediction(2023) Procedia CIRP, 117, pp. 145 - 150,
DOI: 10.1016/j.procir.2023.03.026