Anomaly diagnosis in SWRO desalination plants using a physics-informed spatiotemporal graph attention network.
- DOI
- 10.1016/j.watres.2026.126904
- Published
- 2026 Sep 8
- Container
- Water research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.watres.2026.126904,
title = {Anomaly diagnosis in SWRO desalination plants using a physics-informed spatiotemporal graph attention network.},
author = {Noh H and Moon J and Yun B and Kim J and Park K and Cho KH},
year = {2026},
journal = {Water research},
doi = {10.1016/j.watres.2026.126904},
url = {https://doi.org/10.1016/j.watres.2026.126904}
}RIS
TY - JOUR TI - Anomaly diagnosis in SWRO desalination plants using a physics-informed spatiotemporal graph attention network. AU - Noh H AU - Moon J AU - Yun B AU - Kim J AU - Park K AU - Cho KH PY - 2026 JO - Water research DO - 10.1016/j.watres.2026.126904 UR - https://doi.org/10.1016/j.watres.2026.126904 ER -
APA
H, N., J, M., B, Y., J, K., K, P., & KH, C. (2026). Anomaly diagnosis in SWRO desalination plants using a physics-informed spatiotemporal graph attention network.. Water research. https://doi.org/10.1016/j.watres.2026.126904
Source records
- pubmed · retrieved 2026-09-25T20:28:40.398Z