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Study of structural damage identification through various convolutional neural network models: exploring the accuracy and efficiency
- Source :
- Proceedings of SPIE; May 2024, Vol. 13176 Issue: 1 p131761T-131761T-9, 1185859p
- Publication Year :
- 2024
Details
- Language :
- English
- ISSN :
- 0277786X
- Volume :
- 13176
- Issue :
- 1
- Database :
- Supplemental Index
- Journal :
- Proceedings of SPIE
- Publication Type :
- Periodical
- Accession number :
- ejs66454367
- Full Text :
- https://doi.org/10.1117/12.3028960