An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM

Research article (Journal of Hydrology Regional Studies, 2024) · cited 85× · AI/ML
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An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM

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An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-hybrid-deep-learning-model-for-flood-forecasting-based-on-transformer-and-lstm
MLA “An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-hybrid-deep-learning-model-for-flood-forecasting-based-on-transformer-and-lstm.
BibTeX @misc{4ortxyz_an-interpretable-hybrid-deep-learning-model-for-flood-forecasting-based-on-transformer-and-lstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-hybrid-deep-learning-model-for-flood-forecasting-based-on-transformer-and-lstm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM — https://4ort.xyz/entity/an-interpretable-hybrid-deep-learning-model-for-flood-forecasting-based-on-transformer-and-lstm (retrieved 2026-05-24)

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