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Soft sensing of water depth in combined sewers using LSTM neural networks with missing observations

Research article (Journal of Hydro-environment Research, 2021) · cited 46× · AI/ML
academia openalex:W3127217349
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Soft sensing of water depth in combined sewers using LSTM neural networks with missing observations

Summary

Soft sensing of water depth in combined sewers using LSTM neural networks with missing observations is a scholarly article[1].

Key Facts

  • Soft sensing of water depth in combined sewers using LSTM neural networks with missing observations's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Soft sensing of water depth in combined sewers using LSTM neural networks with missing observations. Retrieved May 24, 2026, from https://4ort.xyz/entity/soft-sensing-of-water-depth-in-combined-sewers-using-lstm-neural-networks-with-missing-observations
MLA “Soft sensing of water depth in combined sewers using LSTM neural networks with missing observations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/soft-sensing-of-water-depth-in-combined-sewers-using-lstm-neural-networks-with-missing-observations.
BibTeX @misc{4ortxyz_soft-sensing-of-water-depth-in-combined-sewers-using-lstm-neural-networks-with-missing-observations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Soft sensing of water depth in combined sewers using LSTM neural networks with missing observations}}, year = {2026}, url = {https://4ort.xyz/entity/soft-sensing-of-water-depth-in-combined-sewers-using-lstm-neural-networks-with-missing-observations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Soft sensing of water depth in combined sewers using LSTM neural networks with missing observations — https://4ort.xyz/entity/soft-sensing-of-water-depth-in-combined-sewers-using-lstm-neural-networks-with-missing-observations (retrieved 2026-05-24)

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