Artificial intelligence is transforming the traditional approach to science, technology, and industry, and deep learning (DL) techniques are increasingly used in various applications. The possibility of storing, analyzing, and processing big data recorded by sensor networks allows scientists and technicians to train data-driven models that reproduce the complexity of real-world phenomena.

Deep learning-based structural health monitoring of historical towers

Girardi Maria
;
Gurioli Gianmarco;Messina Nicola;Padovani Cristina;Pellegrini Daniele
2026

Abstract

Artificial intelligence is transforming the traditional approach to science, technology, and industry, and deep learning (DL) techniques are increasingly used in various applications. The possibility of storing, analyzing, and processing big data recorded by sensor networks allows scientists and technicians to train data-driven models that reproduce the complexity of real-world phenomena.
2026
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
9781003516941
Structural health monitoring; Deep learning; Masonry towers
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/568742
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