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Volume 17
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10.3390/w17172526
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Correction to Water 2025, 17(14), 2043.
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Correction

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

by
Liangjie Zhao
1,2,3,*,
Stefano Fazi
2,
Song Luan
1,
Zhe Wang
1,
Cheng Li
1,
Yu Fan
1 and
Yang Yang
1,*
1
Institute of Karst Geology, Chinese Academy of Geological Sciences/Key Laboratory of Karst Dynamics, Ministry of Natural Resources & Guangxi Zhuang Autonomous Region/International Research Centre on Karst under the Auspices of UNESCO, Guilin 541004, China
2
Water Research Institute (IRSA), National Research Council of Italy (CNR), 00015 Rome, Italy
3
Pingguo Guangxi, Karst Ecosystem, National Observation and Research Station, Pingguo 531406, China
*
Authors to whom correspondence should be addressed.
Water 2025, 17(17), 2526; https://doi.org/10.3390/w17172526
Submission received: 25 July 2025 / Accepted: 28 July 2025 / Published: 25 August 2025
Versions Notes
In the original publication [1], there was an error regarding the affiliation for Liangjie Zhao. In addition to the current affiliation, it should also be marked with affiliation 2, and should also include: Pingguo Guangxi, Karst Ecosystem, National Observation and Research Station, Pingguo 531406, China. Also, the spelling of “Center” in Affiliation 1 has been corrected to “Centre” to reflect the institution’s official name.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Zhao, L.; Fazi, S.; Luan, S.; Wang, Z.; Li, C.; Fan, Y.; Yang, Y. Physics-Informed Deep Learning for Karst Spring Prediction: Integrating Variational Mode Decomposition and Long Short-Term Memory with Attention. Water 2025, 17, 2043. [Google Scholar] [CrossRef]
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Share and Cite

MDPI and ACS Style

Zhao, L.; Fazi, S.; Luan, S.; Wang, Z.; Li, C.; Fan, Y.; Yang, Y. 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. Water 2025, 17, 2526. https://doi.org/10.3390/w17172526

AMA Style

Zhao L, Fazi S, Luan S, Wang Z, Li C, Fan Y, Yang Y. 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. Water. 2025; 17(17):2526. https://doi.org/10.3390/w17172526

Chicago/Turabian Style

Zhao, Liangjie, Stefano Fazi, Song Luan, Zhe Wang, Cheng Li, Yu Fan, and Yang Yang. 2025. "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" Water 17, no. 17: 2526. https://doi.org/10.3390/w17172526

APA Style

Zhao, L., Fazi, S., Luan, S., Wang, Z., Li, C., Fan, Y., & Yang, Y. (2025). 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. Water, 17(17), 2526. https://doi.org/10.3390/w17172526

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