ROSAFALCO, LUCA
A Combined Model-Order Reduction and Deep Learning Approach for Structural Health Monitoring under Varying Operational and Environmental Conditions
2020-01-01 Torzoni, Matteo; Rosafalco, Luca; Manzoni, Andrea
A Generative Adversarial Network Based Autoencoder for Structural Health Monitoring
2022-01-01 Colombera, Giorgia; Rosafalco, Luca; Torzoni, Matteo; Gatti, Filippo; Mariani, Stefano; Manzoni, Andrea; Corigliano, Alberto
A Hybrid Structural Health Monitoring Approach Based on Reduced-Order Modelling and Deep Learning
2020-01-01 Rosafalco, Luca; Corigliano, Alberto; Manzoni, Andrea; Mariani, Stefano
A Self-adaptive Hybrid Model/data-Driven Approach to SHM Based on Model Order Reduction and Deep Learning
2022-01-01 Rosafalco, L.; Torzoni, M.; Manzoni, A.; Mariani, S.; Corigliano, A.
A time series autoencoder for load identification via dimensionality reduction of sensor recordings
2020-01-01 Rosafalco, Luca; Corigliano, Alberto; Manzoni, Andrea; Mariani, Stefano
An autoencoder-based deep learning approach for load identification in structural dynamics
2021-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
Combined Model Order Reduction Techniques and Artificial Neural Network for Data Assimilation and Damage Detection in Structures
2022-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
Damage identification using physics-based datasets: From convolutional to metric-informed damage-sensitive feature extractors
2023-01-01 Torzoni, Matteo; Rosafalco, Luca; Mariani, Stefano; Corigliano, Alberto; Manzoni, Andrea
Dealing with uncertainties in structural damage localization by reduced order modeling and deep learning-based classifiers
2021-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Torzoni, M.; Corigliano, A.
Enabling supervised learning in structural health monitoring by simulating damaged structure responses through physics based models
2022-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
Fully convolutional networks for structural health monitoring through multivariate time series classification
2020-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
Mechanical Characterization of Polysilicon MEMS Devices: A Stochastic, Deep Learning-based Approach
2020-01-01 Molina, J. P. Q.; Rosafalco, L.; Mariani, S.
Multi-storey shear type buildings under earthquake loading: Adversarial learning-based prediction of the transient dynamics and damage classification
2023-01-01 Gatti, F.; Rosafalco, L.; Colombera, G.; Mariani, S.; Corigliano, A.
Online structural health monitoring by model order reduction and deep learning algorithms
2021-01-01 Rosafalco, L; Torzoni, M; Manzoni, A; Mariani, S; Corigliano, A
Optimised graded metamaterials for mechanical energy confinement and amplification via reinforcement learning
2023-01-01 Rosafalco, Luca; DE PONTI, JACOPO MARIA; Iorio, Luca; Ardito, Raffaele; Corigliano, Alberto
Optimization of graded arrays of resonators for energy harvesting in sensors as a Markov decision process solved via reinforcement learning
2022-01-01 Rosafalco, Luca; De Ponti, Jacopo Maria; Iorio, Luca; Ardito, Raffaele; Corigliano, Alberto
Parametric reduced order modelling and deep learning to accomplish pattern recognition and regression tasks
2021-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
Reinforcement learning optimisation for graded metamaterial design using a physical-based constraint on the state representation and action space
2023-01-01 Rosafalco, L.; De Ponti, J. M.; Iorio, L.; Craster, R. V.; Ardito, R.; Corigliano, A.
SHM under varying environmental conditions: an approach based on model order reduction and deep learning
2022-01-01 Torzoni, Matteo; Rosafalco, Luca; Manzoni, Andrea; Mariani, Stefano; Corigliano, Alberto
Stochastic Mechanical Characterization of Polysilicon MEMS: A Deep Learning Approach
2020-01-01 Molina, José Pablo Quesada; Rosafalco, Luca; Mariani, Stefano