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Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling
Research article (Journal of Environmental Management, 2024) · cited 47× · AI/ML
Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling
Summary
Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling is a scholarly article[1].
Key Facts
Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/use-of-one-dimensional-cnn-for-input-data-size-reduction-in-lstm-for-improved-computational-efficiency-and-accuracy-in-h
MLA“Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/use-of-one-dimensional-cnn-for-input-data-size-reduction-in-lstm-for-improved-computational-efficiency-and-accuracy-in-h.
BibTeX@misc{4ortxyz_use-of-one-dimensional-cnn-for-input-data-size-reduction-in-lstm-for-improved-computational-efficiency-and-accuracy-in-h_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling}}, year = {2026}, url = {https://4ort.xyz/entity/use-of-one-dimensional-cnn-for-input-data-size-reduction-in-lstm-for-improved-computational-efficiency-and-accuracy-in-h}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling — https://4ort.xyz/entity/use-of-one-dimensional-cnn-for-input-data-size-reduction-in-lstm-for-improved-computational-efficiency-and-accuracy-in-h (retrieved 2026-05-24)
