Deep learning-based structural health monitoring of historical towers

CRC Press eBooks 2026 Book chapter

View at publisher
Authors: M. Girardi, Gianmarco Gurioli, N. Messina, Padovani C, D. Pellegrini
DOI: 10.1201/9781003516941-9
Cited by: 0

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.

Fields of Study & Subjects

Structural Health Monitoring Techniques Infrastructure Maintenance and Monitoring Masonry and Concrete Structural Analysis

Publication details

Journal / source
CRC Press eBooks
Pages
117–131
Publication date
16 February 2026
Language
EN
Document type
Book chapter