Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing

Research article (Water, 2023) · cited 52× · AI/ML

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Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing

Summary

Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing is a scholarly article^[1].

Key Facts

Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing's instance of is recorded as scholarly article^[2].

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Instance of scholarly article

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Authored by 4

Bahram Gharabaghi, Jesse Van Griensven Thé, Simon X Yang, Zimo Zhou

← Author of 4

Bahram Gharabaghi, Jesse Van Griensven Thé, Simon X Yang, Zimo Zhou

References

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Direct Wikidata claims

[2] ↑ Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA

4ort.xyz Knowledge Graph. (2026). Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing. Retrieved May 24, 2026, from https://4ort.xyz/entity/flood-forecasting-using-hybrid-lstm-and-gru-models-with-lag-time-preprocessing

MLA

“Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/flood-forecasting-using-hybrid-lstm-and-gru-models-with-lag-time-preprocessing.

BibTeX

@misc{4ortxyz_flood-forecasting-using-hybrid-lstm-and-gru-models-with-lag-time-preprocessing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing}}, year = {2026}, url = {https://4ort.xyz/entity/flood-forecasting-using-hybrid-lstm-and-gru-models-with-lag-time-preprocessing}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing — https://4ort.xyz/entity/flood-forecasting-using-hybrid-lstm-and-gru-models-with-lag-time-preprocessing (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/flood-forecasting-using-hybrid-lstm-and-gru-models-with-lag-time-preprocessing · Last refreshed: May 24, 2026