ROSAFALCO, LUCA

ROSAFALCO, LUCA  

DIPARTIMENTO DI INGEGNERIA CIVILE E AMBIENTALE  

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Titolo Data di pubblicazione Autori File
A Combined Model-Order Reduction and Deep Learning Approach for Structural Health Monitoring under Varying Operational and Environmental Conditions 1-gen-2020 Torzoni, MatteoRosafalco, LucaManzoni, Andrea
A Generative Adversarial Network Based Autoencoder for Structural Health Monitoring 1-gen-2022 Rosafalco, LucaTorzoni, MatteoMariani, StefanoManzoni, AndreaCorigliano, Alberto +
A Hybrid Structural Health Monitoring Approach Based on Reduced-Order Modelling and Deep Learning 1-gen-2020 Rosafalco, LucaCorigliano, AlbertoManzoni, AndreaMariani, Stefano
A time series autoencoder for load identification via dimensionality reduction of sensor recordings 1-gen-2020 Rosafalco, LucaCorigliano, AlbertoManzoni, AndreaMariani, Stefano
Dealing with uncertainties in structural damage localization by reduced order modeling and deep learning-based classifiers 1-gen-2021 L. RosafalcoA. ManzoniS. MarianiM. TorzoniA. Corigliano
Enabling supervised learning in structural health monitoring by simulating damaged structure responses through physics based models 1-gen-2022 L. RosafalcoA. ManzoniS. MarianiA. Corigliano
Mechanical Characterization of Polysilicon MEMS Devices: A Stochastic, Deep Learning-based Approach 1-gen-2020 Rosafalco L.Mariani S. +
Parametric reduced order modelling and deep learning to accomplish pattern recognition and regression tasks 1-gen-2021 L. RosafalcoA. ManzoniS. MarianiA. Corigliano
Stochastic Mechanical Characterization of Polysilicon MEMS: A Deep Learning Approach 1-gen-2020 Rosafalco, LucaMariani, Stefano +
Unscented Kalman Filter Empowered by Bayesian Model Evidence for System Identification in Structural Dynamics 1-gen-2022 Rosafalco, LucaManzoni, AndreaCorigliano, AlbertoMariani, Stefano +