Toward explainable and generalizable data-driven modeling in real wastewater treatment plants: Utilizing bidimensional interpretable deep learning and cross-scenario transfer learning
- DOI
- 10.1016/j.jenvman.2026.130037
- Published
- 2026-06
- Container
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jenvman.2026.130037,
title = {Toward explainable and generalizable data-driven modeling in real wastewater treatment plants: Utilizing bidimensional interpretable deep learning and cross-scenario transfer learning},
author = {Weihao Chen and Wenchong Tian and Chao Lu and Hexiang Yan and Tao Tao and Saba Daneshgar and Bernard De Baets and Kunlun Xin},
year = {2026},
journal = {Journal of Environmental Management},
doi = {10.1016/j.jenvman.2026.130037},
url = {https://doi.org/10.1016/j.jenvman.2026.130037}
}RIS
TY - JOUR TI - Toward explainable and generalizable data-driven modeling in real wastewater treatment plants: Utilizing bidimensional interpretable deep learning and cross-scenario transfer learning AU - Weihao Chen AU - Wenchong Tian AU - Chao Lu AU - Hexiang Yan AU - Tao Tao AU - Saba Daneshgar AU - Bernard De Baets AU - Kunlun Xin PY - 2026 JO - Journal of Environmental Management DO - 10.1016/j.jenvman.2026.130037 UR - https://doi.org/10.1016/j.jenvman.2026.130037 ER -
APA
Chen, W., Tian, W., Lu, C., Yan, H., Tao, T., Daneshgar, S., Baets, B. D., & Xin, K. (2026). Toward explainable and generalizable data-driven modeling in real wastewater treatment plants: Utilizing bidimensional interpretable deep learning and cross-scenario transfer learning. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2026.130037
Source records
- crossref · retrieved 2026-09-27T02:47:42.901Z