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An optimized long short-term memory (LSTM)-based approach applied to early warning and forecasting of ponding in the urban drainage system
Research article (Hydrology and earth system sciences, 2023) · cited 11× · AI/ML
An optimized long short-term memory (LSTM)-based approach applied to early warning and forecasting of ponding in the urban drainage system
Summary
An optimized long short-term memory (LSTM)-based approach applied to early warning and forecasting of ponding in the urban drainage system is a scholarly article[1].
Key Facts
An optimized long short-term memory (LSTM)-based approach applied to early warning and forecasting of ponding in the urban drainage system's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). An optimized long short-term memory (LSTM)-based approach applied to early warning and forecasting of ponding in the urban drainage system. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-optimized-long-short-term-memory-lstm-based-approach-applied-to-early-warning-and-forecasting-of-ponding-in-the-urban
MLA“An optimized long short-term memory (LSTM)-based approach applied to early warning and forecasting of ponding in the urban drainage system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-optimized-long-short-term-memory-lstm-based-approach-applied-to-early-warning-and-forecasting-of-ponding-in-the-urban.
BibTeX@misc{4ortxyz_an-optimized-long-short-term-memory-lstm-based-approach-applied-to-early-warning-and-forecasting-of-ponding-in-the-urban_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An optimized long short-term memory (LSTM)-based approach applied to early warning and forecasting of ponding in the urban drainage system}}, year = {2026}, url = {https://4ort.xyz/entity/an-optimized-long-short-term-memory-lstm-based-approach-applied-to-early-warning-and-forecasting-of-ponding-in-the-urban}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An optimized long short-term memory (LSTM)-based approach applied to early warning and forecasting of ponding in the urban drainage system — https://4ort.xyz/entity/an-optimized-long-short-term-memory-lstm-based-approach-applied-to-early-warning-and-forecasting-of-ponding-in-the-urban (retrieved 2026-05-24)
