Advanced deep learning comparisons for non-invasive tunnel lining assessment from ground penetrating radar profiles
Marco Martino Rosso, Giulia Marasco, Leonardo Tanzi, Salvatore Aiello, Angelo Aloisio, Raffaele Cucuzza, Bernardino Chiaia, Giansalvo Cirrincione and Giuseppe Carlo Marano

Classification of compromised DOFS data with LSTM neural networks
Valeria Usenco and Kaspar Lasn

Deep neural networks for unsupervised damage detection on the Z24 bridge
Valentina Giglioni, Ilaria Venanzi, Valentina Poggioni, Alina Elena Baia, Alfredo Milani and Filippo Ubertini

Enabling supervised learning in structural health monitoring by simulating damaged structure responses through physics based models
Luca Rosafalco, Andrea Manzoni, Stefano Mariani and Alberto Corigliano

A new data assimilation framework using the modified Constitutive Relation Error for online structural monitoring: application to shaking-table experiments
Matthieu Diaz, Pierre-Etienne Charbonnel and Ludovic Chamoin

Early Detection of Train Wheel Flats based on a Wavelet Approach
Araliya Mosleh, Andreia Meixedo, Diogo Ribeiro, Pedro Aires Montenegro and Rui Calçada

Maneuver identification and fatigue damage regression for predictive maintenance using the scattering transform
Leonhard Heindel, Peter Hantschke and Markus Kästner