Machine-learning modeling and optimization of electro-osmotic dewatering of wastewater sludge: Current status and challenges
- DOI
- 10.1016/j.wasman.2026.115814
- Published
- 2026-10
- Container
- Waste Management
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.wasman.2026.115814,
title = {Machine-learning modeling and optimization of electro-osmotic dewatering of wastewater sludge: Current status and challenges},
author = {Xing Zhang and Yu Huang and Yafei Shi and Wei Zhang and Yuantao Lin and Jinkai Yan and Youzhou Jiao and Yalin Li},
year = {2026},
journal = {Waste Management},
doi = {10.1016/j.wasman.2026.115814},
url = {https://doi.org/10.1016/j.wasman.2026.115814}
}RIS
TY - JOUR TI - Machine-learning modeling and optimization of electro-osmotic dewatering of wastewater sludge: Current status and challenges AU - Xing Zhang AU - Yu Huang AU - Yafei Shi AU - Wei Zhang AU - Yuantao Lin AU - Jinkai Yan AU - Youzhou Jiao AU - Yalin Li PY - 2026 JO - Waste Management DO - 10.1016/j.wasman.2026.115814 UR - https://doi.org/10.1016/j.wasman.2026.115814 ER -
APA
Zhang, X., Huang, Y., Shi, Y., Zhang, W., Lin, Y., Yan, J., Jiao, Y., & Li, Y. (2026). Machine-learning modeling and optimization of electro-osmotic dewatering of wastewater sludge: Current status and challenges. Waste Management. https://doi.org/10.1016/j.wasman.2026.115814
Source records
- crossref · retrieved 2026-09-25T20:01:29.251Z