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Fast Prediction of Urban Flooding Water Depth Based on CNN−LSTM

Research article (Water, 2023) · cited 49× · AI/ML
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Fast Prediction of Urban Flooding Water Depth Based on CNN−LSTM

Summary

Fast Prediction of Urban Flooding Water Depth Based on CNN−LSTM is a scholarly article[1].

Key Facts

  • Fast Prediction of Urban Flooding Water Depth Based on CNN−LSTM'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). Fast Prediction of Urban Flooding Water Depth Based on CNN−LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/fast-prediction-of-urban-flooding-water-depth-based-on-cnnlstm
MLA “Fast Prediction of Urban Flooding Water Depth Based on CNN−LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fast-prediction-of-urban-flooding-water-depth-based-on-cnnlstm.
BibTeX @misc{4ortxyz_fast-prediction-of-urban-flooding-water-depth-based-on-cnnlstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fast Prediction of Urban Flooding Water Depth Based on CNN−LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/fast-prediction-of-urban-flooding-water-depth-based-on-cnnlstm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fast Prediction of Urban Flooding Water Depth Based on CNN−LSTM — https://4ort.xyz/entity/fast-prediction-of-urban-flooding-water-depth-based-on-cnnlstm (retrieved 2026-05-24)

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