A hybrid attention-based deep learning framework for high-accuracy microplastic detection and monitoring in water environments.
- DOI
- 10.1016/j.watres.2026.126758
- Published
- 2026 Aug 21
- Container
- Water research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.watres.2026.126758,
title = {A hybrid attention-based deep learning framework for high-accuracy microplastic detection and monitoring in water environments.},
author = {Zhang X and Yu CH and Fu R and Ouyang L and Zhang Z and Pu L and Cheng MM},
year = {2026},
journal = {Water research},
doi = {10.1016/j.watres.2026.126758},
url = {https://doi.org/10.1016/j.watres.2026.126758}
}RIS
TY - JOUR TI - A hybrid attention-based deep learning framework for high-accuracy microplastic detection and monitoring in water environments. AU - Zhang X AU - Yu CH AU - Fu R AU - Ouyang L AU - Zhang Z AU - Pu L AU - Cheng MM PY - 2026 JO - Water research DO - 10.1016/j.watres.2026.126758 UR - https://doi.org/10.1016/j.watres.2026.126758 ER -
APA
X, Z., CH, Y., R, F., L, O., Z, Z., L, P., & MM, C. (2026). A hybrid attention-based deep learning framework for high-accuracy microplastic detection and monitoring in water environments.. Water research. https://doi.org/10.1016/j.watres.2026.126758
Source records
- pubmed · retrieved 2026-09-25T13:15:38.816Z