Correction: Zhao et al. Physics-Informed Deep Learning for Karst Spring Prediction: Integrating Variational Mode Decomposition and Long Short-Term Memory with Attention. Water 2025, 17, 2043

In the original publication [...]

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Vydáno v:Water (Basel) Ročník 17; číslo 17; s. 2526
Hlavní autoři: Zhao, Liangjie, Fazi, Stefano, Luan, Song, Wang, Zhe, Li, Cheng, Fan, Yu, Yang, Yang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.09.2025
Témata:
Deep learning
ISSN:2073-4441, 2073-4441
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Abstract In the original publication [...]
AbstractList In the original publication [...]
Audience Academic
Author Wang, Zhe
Li, Cheng
Luan, Song
Fazi, Stefano
Yang, Yang
Zhao, Liangjie
Fan, Yu
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Cites_doi 10.3390/w17142043
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Copyright COPYRIGHT 2025 MDPI AG
2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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SubjectTerms Deep learning
Title Correction: Zhao et al. Physics-Informed Deep Learning for Karst Spring Prediction: Integrating Variational Mode Decomposition and Long Short-Term Memory with Attention. Water 2025, 17, 2043
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