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

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Publication Details

Journal
Structural Engineering International
Published
2025-12-22
DOI
https://doi.org/10.1080/10168664.2025.2584752
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

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

Mohamed Abdelillah Fidma, Franziska Schmidt, Jean-François Bercher
Structural Engineering International
Structural Health Monitoring Techniques
article

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

Mohamed Abdelillah Fidma, Franziska Schmidt, Jean-François Bercher
article en

Abstract

No abstract available for this paper.
Structural Engineering International
Centre National de la Recherche Scientifique (FR), Université Gustave Eiffel (FR)
Openalex Percentile: Top 37%
Structural Health Monitoring Techniques
DOIOpen Access PDFOpenAlex
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Deep Learning Techniques for Damage Detection in Structural Health Monitoring: A Review — Mohamed Abdelillah Fidma, Franziska Schmidt, et al. · Structural Engineering International (2025) | TGRS Research Map | TGRS