Quantification of pitting corrosion from thermography using deep neural networks.
- DOI
- 10.1063/5.0026653
- Published
- 2021 Mar 1
- Container
- The Review of scientific instruments
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1063/5.0026653,
title = {Quantification of pitting corrosion from thermography using deep neural networks.},
author = {Liu S and Liu H and Liu Z},
year = {2021},
journal = {The Review of scientific instruments},
doi = {10.1063/5.0026653},
url = {https://doi.org/10.1063/5.0026653}
}RIS
TY - JOUR TI - Quantification of pitting corrosion from thermography using deep neural networks. AU - Liu S AU - Liu H AU - Liu Z PY - 2021 JO - The Review of scientific instruments DO - 10.1063/5.0026653 UR - https://doi.org/10.1063/5.0026653 ER -
APA
S, L., H, L., & Z, L. (2021). Quantification of pitting corrosion from thermography using deep neural networks.. The Review of scientific instruments. https://doi.org/10.1063/5.0026653
Source records
- pubmed · retrieved 2026-09-26T07:33:19.263Z