A Physically Constrained Deep Learning Framework for Total Nitrogen Prediction: A Case Study of a Reservoir in North China.
- DOI
- 10.1016/j.envres.2026.125714
- Published
- 2026 Sep 21
- Container
- Environmental research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.envres.2026.125714,
title = {A Physically Constrained Deep Learning Framework for Total Nitrogen Prediction: A Case Study of a Reservoir in North China.},
author = {Jiang H and Qian J and Chai Y and Sun X},
year = {2026},
journal = {Environmental research},
doi = {10.1016/j.envres.2026.125714},
url = {https://doi.org/10.1016/j.envres.2026.125714}
}RIS
TY - JOUR TI - A Physically Constrained Deep Learning Framework for Total Nitrogen Prediction: A Case Study of a Reservoir in North China. AU - Jiang H AU - Qian J AU - Chai Y AU - Sun X PY - 2026 JO - Environmental research DO - 10.1016/j.envres.2026.125714 UR - https://doi.org/10.1016/j.envres.2026.125714 ER -
APA
H, J., J, Q., Y, C., & X, S. (2026). A Physically Constrained Deep Learning Framework for Total Nitrogen Prediction: A Case Study of a Reservoir in North China.. Environmental research. https://doi.org/10.1016/j.envres.2026.125714
Source records
- pubmed · retrieved 2026-09-25T05:52:08.016Z