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Deep Learning Techniques for Damage Detection in Structural Health Monitoring: A Review

Year: 2025

Type: review

Source: Structural Engineering International

DOI: 10.1080/10168664.2025.2584752

Authors: Mohamed Abdelillah Fidma, Franziska Schmidt, Jean-François Bercher

Institutions: Université Gustave Eiffel, Centre National de la Recherche Scientifique, Laboratoire d'Informatique Gaspard-Monge, ESIEE Paris

Language: English

Topic: Structural Health Monitoring Techniques

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7116753273

FWCI: 0.731

Cites: 74

Cited by: 6

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