DOE OSTI · 1769652
A Self-Evolution Data Fusion Platform for Large-Scale Water Models
Abstract
Focal Area: Data acquisition and assimilation enabled by machine learning (ML), artificial intelligence (AI), and advanced methods including experimental/network design/optimization, unsupervised learning (deep learning), leveraging advanced hardware (e.g., edge computing). This development is to enable solving the science questions regarding the human and climatic factors that interact with and drive global water scarcity.
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Li, Xinya, Vernon, Chris, Chen, Min, Wang, Heng, Hou, Zhangshuan. 2021-04-15. A Self-Evolution Data Fusion Platform for Large-Scale Water Models. https://doi.org/10.2172/1769652
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