Evaluation of LSTM‐Based Short‐Term Prediction of MBR Operational Parameters: Applicability and Limitations for Aeration Control Applications
- DOI
- 10.1002/wer.70528
- Published
- 2026-08
- Container
- Water Environment Research
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/wer.70528,
title = {Evaluation of LSTM‐Based Short‐Term Prediction of MBR Operational Parameters: Applicability and Limitations for Aeration Control Applications},
author = {Minh Binh Nguyen and Vu Van Huynh and Tetsurou Ueyama and Masatosi Hayashi and Tetsuo Imai and Kazuto Miyazaki and Tomoaki Itayama},
year = {2026},
journal = {Water Environment Research},
doi = {10.1002/wer.70528},
url = {https://doi.org/10.1002/wer.70528}
}RIS
TY - JOUR TI - Evaluation of LSTM‐Based Short‐Term Prediction of MBR Operational Parameters: Applicability and Limitations for Aeration Control Applications AU - Minh Binh Nguyen AU - Vu Van Huynh AU - Tetsurou Ueyama AU - Masatosi Hayashi AU - Tetsuo Imai AU - Kazuto Miyazaki AU - Tomoaki Itayama PY - 2026 JO - Water Environment Research DO - 10.1002/wer.70528 UR - https://doi.org/10.1002/wer.70528 ER -
APA
Nguyen, M. B., Huynh, V. V., Ueyama, T., Hayashi, M., Imai, T., Miyazaki, K., & Itayama, T. (2026). Evaluation of LSTM‐Based Short‐Term Prediction of MBR Operational Parameters: Applicability and Limitations for Aeration Control Applications. Water Environment Research. https://doi.org/10.1002/wer.70528
Source records
- crossref · retrieved 2026-09-26T03:39:04.783Z