Examination of hydrological variations and their effect on water shortage trends and water-energy production using convolutional neural network and ISSA
Crossref DOI link: https://doi.org/10.1038/s41598-025-21629-8
Published Online: 2025-10-27
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Liu, Xiaofei
Xuan, Gang
Safarzadeh, Jafar
Text and Data Mining valid from 2025-10-27
Version of Record valid from 2025-10-27
Article History
Received: 19 April 2025
Accepted: 22 September 2025
First Online: 27 October 2025
Declarations
:
: The authors declare no competing interests.