A Deep Learning-Based Cloud Groundwater Level Prediction System

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. ... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.067129
Citations
1
Primary Topic
Hydrological Forecasting Using AI
Type
article
Field-Weighted Citation Impact
0.80

Funders

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article

A Deep Learning-Based Cloud Groundwater Level Prediction System

Ting-Jou Ding, Yu-Sheng Su, Yun-Chin Wu, Z. J. Xiao et al.
1 citations
Computers, materials & continua/Computers, materials & continua (Print)
Hydrological Forecasting Using AI
0.80
article

A Deep Learning-Based Cloud Groundwater Level Prediction System

Ting-Jou Ding, Yu-Sheng Su, Yun-Chin Wu, Z. J. Xiao, Yiwen Wang
article en
1 citations

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. ... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 85(1)
Ministry of Education, India, National Science and Technology Council
Openalex Percentile: Top 27%
Hydrological Forecasting Using AI
0.80
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