TORZONI, MATTEO

TORZONI, MATTEO  

DIPARTIMENTO DI INGEGNERIA CIVILE E AMBIENTALE  

Mostra records
Risultati 1 - 11 di 11 (tempo di esecuzione: 0.03 secondi).
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 deep learning approach to metric-based damage localization in structural health monitoring 1-gen-2021 M. TorzoniA. ManzoniS. Mariani
A Deep Neural Network, Multi-fidelity Surrogate Model Approach for Bayesian Model Updating in SHM 1-gen-2023 Torzoni, MManzoni, AMariani, S
A Generative Adversarial Network Based Autoencoder for Structural Health Monitoring 1-gen-2022 Rosafalco, LucaTorzoni, MatteoMariani, StefanoManzoni, AndreaCorigliano, Alberto +
A Multi-Fidelity Deep Neural Network Approach to Structural Health Monitoring 1-gen-2022 Torzoni M.Manzoni A.Mariani S.
An MCMC approach powered by a multi-fidelity deep neural network surrogate for damage localization in civil structures 1-gen-2021 M. TorzoniA. ManzoniS. Mariani
Attention Mechanism-Driven Sensor Placement Strategy for Structural Health Monitoring 1-gen-2022 Torzoni M.Corigliano A.Mariani S. +
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
Enhanced Bayesian model updating for structural health monitoring via deep learning 1-gen-2022 M. TorzoniA. ManzoniS. Mariani
Health Monitoring of Civil Structures: A MCMC Approach Based on a Multi-Fidelity Deep Neural Network Surrogate 1-gen-2022 Torzoni, MatteoManzoni, AndreaMariani, Stefano
Structural Damage Localization via Deep Learning and IoT Enabled Digital Twin 1-gen-2022 Torzoni, M +