Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models

Research article (Journal of Environmental Management, 2023) · cited 18× · AI/ML

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Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models

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Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models is a scholarly article^[1].

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Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models's instance of is recorded as scholarly article^[2].

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Authored by 4

Fi‐John Chang, Jia-Yi Liou, Li-Chiu Chang, Pu-Yun Kow

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Fi‐John Chang, Jia-Yi Liou, Li-Chiu Chang, Pu-Yun Kow

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[2] ↑ Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models — instance of (P31): scholarly article. wikidata.org.

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[1] ↑ Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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4ort.xyz Knowledge Graph. (2026). Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models. Retrieved May 24, 2026, from https://4ort.xyz/entity/watershed-groundwater-level-multistep-ahead-forecasts-by-fusing-convolutional-based-autoencoder-and-lstm-models

MLA

“Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/watershed-groundwater-level-multistep-ahead-forecasts-by-fusing-convolutional-based-autoencoder-and-lstm-models.

BibTeX

@misc{4ortxyz_watershed-groundwater-level-multistep-ahead-forecasts-by-fusing-convolutional-based-autoencoder-and-lstm-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models}}, year = {2026}, url = {https://4ort.xyz/entity/watershed-groundwater-level-multistep-ahead-forecasts-by-fusing-convolutional-based-autoencoder-and-lstm-models}, note = {Accessed: 2026-05-24}}

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According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models — https://4ort.xyz/entity/watershed-groundwater-level-multistep-ahead-forecasts-by-fusing-convolutional-based-autoencoder-and-lstm-models (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/watershed-groundwater-level-multistep-ahead-forecasts-by-fusing-convolutional-based-autoencoder-and-lstm-models · Last refreshed: May 24, 2026