A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data.
- DOI
- 10.1038/s41598-025-96282-2
- Published
- 2025 Apr 3
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-96282-2,
title = {A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data.},
author = {Xuan W and Chen P and Li R and Wang F and Fu K and Wen Z},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-96282-2},
url = {https://doi.org/10.1038/s41598-025-96282-2}
}RIS
TY - JOUR TI - A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data. AU - Xuan W AU - Chen P AU - Li R AU - Wang F AU - Fu K AU - Wen Z PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-96282-2 UR - https://doi.org/10.1038/s41598-025-96282-2 ER -
APA
W, X., P, C., R, L., F, W., K, F., & Z, W. (2025). A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data.. Scientific reports. https://doi.org/10.1038/s41598-025-96282-2
Source records
- pubmed · retrieved 2026-11-11T00:08:29.988Z