A hybrid approach based on deep feature extraction and machine learning classification for structural damage detection in concrete structures
- DOI
- 10.1038/s41598-026-47240-z
- Published
- 2026-04-11
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-47240-z,
title = {A hybrid approach based on deep feature extraction and machine learning classification for structural damage detection in concrete structures},
author = {Nigmet Koklu},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-47240-z},
url = {https://doi.org/10.1038/s41598-026-47240-z}
}RIS
TY - JOUR TI - A hybrid approach based on deep feature extraction and machine learning classification for structural damage detection in concrete structures AU - Nigmet Koklu PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-47240-z UR - https://doi.org/10.1038/s41598-026-47240-z ER -
APA
Koklu, N. (2026). A hybrid approach based on deep feature extraction and machine learning classification for structural damage detection in concrete structures. Scientific Reports. https://doi.org/10.1038/s41598-026-47240-z
Source records
- crossref · retrieved 2026-09-26T06:09:22.112Z