Optimizing wastewater treatment through combined deep learning and deep reinforcement learning: Recent advances and future prospects.

Bai Y, Li Z, Jiang J, Liu J, Wang H, Liu Q, Guo G, Kong Z, Wang Y

Open source

DOI
10.1016/j.envres.2026.123795
Published
2026 Mar 15
Container
Environmental research
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.envres.2026.123795,
  title = {Optimizing wastewater treatment through combined deep learning and deep reinforcement learning: Recent advances and future prospects.},
  author = {Bai Y and Li Z and Jiang J and Liu J and Wang H and Liu Q and Guo G and Kong Z and Wang Y},
  year = {2026},
  journal = {Environmental research},
  doi = {10.1016/j.envres.2026.123795},
  url = {https://doi.org/10.1016/j.envres.2026.123795}
}

RIS

TY  - JOUR
TI  - Optimizing wastewater treatment through combined deep learning and deep reinforcement learning: Recent advances and future prospects.
AU  - Bai Y
AU  - Li Z
AU  - Jiang J
AU  - Liu J
AU  - Wang H
AU  - Liu Q
AU  - Guo G
AU  - Kong Z
AU  - Wang Y
PY  - 2026
JO  - Environmental research
DO  - 10.1016/j.envres.2026.123795
UR  - https://doi.org/10.1016/j.envres.2026.123795
ER  -

APA

Y, B., Z, L., J, J., J, L., H, W., Q, L., G, G., Z, K., & Y, W. (2026). Optimizing wastewater treatment through combined deep learning and deep reinforcement learning: Recent advances and future prospects.. Environmental research. https://doi.org/10.1016/j.envres.2026.123795

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