PSI - Issue 62

Salvatore Aiello et al. / Procedia Structural Integrity 62 (2024) 1128–1136 S. Aiello et al. / Structural Integrity Procedia 00 (2019) 000 – 000

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Marasco, G., Rosso, M. M., Aiello, S., Aloisio, A., Cirrincione, G., Chiaia, B., & Marano, G. C. (2022, June). Ground penetrating radar fourier pre- processing for deep learning tunnel defects’ automated classification. In International Conference on Engine ering Applications of Neural Networks (pp. 165-176). Cham: Springer International Publishing. Mobley, R. K. (2011). Maintenance fundamentals. Elsevier. Palmer, R. (2016). Maintenance Planning and Scheduling Handbook. Asset Management & Maintenance Journal, 29(3), 57-59. Rosso, M. M., Marasco, G., Aiello, S., Aloisio, A., Chiaia, B., & Marano, G. C. (2023). Convolutional networks and transformers for intelligent road tunnel investigations. Computers & Structures, 275, 106918. Song, Z., Yang, Z., Huo, R., & Zhang, Y. (2023). Inversion Analysis Method for Tunnel and Underground Space Engineering: A Short Review. Applied Sciences, 13(9), 5454. Terziovski, M. (2002). Achieving performance excellence through an integrated strategy of radical innovation and continuous improvement. Measuring business excellence, 6(2), 5-14. Tobalina, A., Torrontegui, E., Lizuain, I., Palmero, M., & Muga, J. G. (2020). Invariant-based inverse engineering of time-dependent, coupled harmonic oscillators. Physical Review A, 102(6), 063112. Vitel, G. (1965). Etude pétrographique du tunnel du Mont-Blanc (Partie francaise) et recherches géologiques complémentaires dans le massif Mont-Blanc-Aiguilles-Rouges (Doctoral dissertation, Faculté des Sciences de l'Université de Grenoble). Wells, D. E., & Krakiwsky, E. J. (1971). The method of least squares (Vol. 18). Canada: Department of Surveying Engineering, University of New Brunswick. Xue, Y. D., Zhang, W., Wang, Y. L., Luo, W., Jia, F., Li, S. T., & Pang, H. J. (2023). Serviceability evaluation of highway tunnels based on data mining and machine learning: A case study of continental United States. Tunnelling and Underground Space Technology, 142, 105418.