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 Self-adaptive Hybrid Model/data-Driven Approach to SHM Based on Model Order Reduction and Deep Learning 1-gen-2022 Rosafalco L.Torzoni M.Manzoni A.Mariani S.Corigliano A.
A time series autoencoder for load identification via dimensionality reduction of sensor recordings 1-gen-2020 Rosafalco, LucaCorigliano, AlbertoManzoni, AndreaMariani, Stefano
An autoencoder-based deep learning approach for load identification in structural dynamics 1-gen-2021 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 1-gen-2022 Rosafalco L.Manzoni A.Mariani S.Corigliano A.
Damage identification using physics-based datasets: From convolutional to metric-informed damage-sensitive feature extractors 1-gen-2023 Torzoni, MatteoRosafalco, LucaMariani, StefanoCorigliano, AlbertoManzoni, Andrea
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
Fully convolutional networks for structural health monitoring through multivariate time series classification 1-gen-2020 Rosafalco L.Manzoni A.Mariani S.Corigliano A.
Mechanical Characterization of Polysilicon MEMS Devices: A Stochastic, Deep Learning-based Approach 1-gen-2020 Rosafalco L.Mariani S. +
Multi-storey shear type buildings under earthquake loading: Adversarial learning-based prediction of the transient dynamics and damage classification 1-gen-2023 Rosafalco L.Colombera G.Mariani S.Corigliano A. +
Online structural health monitoring by model order reduction and deep learning algorithms 1-gen-2021 Rosafalco, LTorzoni, MManzoni, AMariani, SCorigliano, A
Optimised graded metamaterials for mechanical energy confinement and amplification via reinforcement learning 1-gen-2023 Luca RosafalcoJacopo Maria De PontiLuca IorioRaffaele ArditoAlberto Corigliano
Optimization of graded arrays of resonators for energy harvesting in sensors as a Markov decision process solved via reinforcement learning 1-gen-2022 Rosafalco, LucaDe Ponti, Jacopo MariaIorio, LucaArdito, RaffaeleCorigliano, Alberto
Parametric reduced order modelling and deep learning to accomplish pattern recognition and regression tasks 1-gen-2021 L. RosafalcoA. ManzoniS. MarianiA. Corigliano
Reinforcement learning optimisation for graded metamaterial design using a physical-based constraint on the state representation and action space 1-gen-2023 Rosafalco L.De Ponti J. M.Iorio L.Ardito R.Corigliano A. +
SHM under varying environmental conditions: an approach based on model order reduction and deep learning 1-gen-2022 Matteo TorzoniLuca RosafalcoAndrea ManzoniStefano MarianiAlberto Corigliano
Stochastic Mechanical Characterization of Polysilicon MEMS: A Deep Learning Approach 1-gen-2020 Rosafalco, LucaMariani, Stefano +