ROSAFALCO, LUCA

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					ROSAFALCO, LUCA
				
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					DIPARTIMENTO DI INGEGNERIA CIVILE E AMBIENTALE
				
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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.

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

Titolo	Data di pubblicazione	Autori
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.
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

RE.PUBLIC@POLIMI pubblicazioni di ricerca del Politecnico di Milano

ROSAFALCO, LUCA

A Self-adaptive Hybrid Model/data-Driven Approach to SHM Based on Model Order Reduction and Deep Learning

Combined Model Order Reduction Techniques and Artificial Neural Network for Data Assimilation and Damage Detection in Structures

Damage identification using physics-based datasets: From convolutional to metric-informed damage-sensitive feature extractors