Yu-Sheng Su1,2,3,*, Yi-Wen Wang1, Yun-Chin Wu3, Zheng-Yun Xiao1, Ting-Jou Ding4
CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1095-1111, 2025, DOI:10.32604/cmc.2025.067129
- 29 August 2025
Abstract In the context of global change, understanding changes in water resources requires close monitoring of groundwater levels. A mismatch between water supply and demand could lead to severe consequences such as land subsidence. To ensure a sustainable water supply and to minimize the environmental effects of land subsidence, groundwater must be effectively monitored and managed. Despite significant global progress in groundwater management, the swift advancements in technology and artificial intelligence (AI) have spurred extensive studies aimed at enhancing the accuracy of groundwater predictions. This study proposes an AI-based method that combines deep learning with a… More >
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