Smart water grid technology based on deep learning: a review

被引：0
|
作者：
Wu, Huan [1 ,2 ]
Peng, Lin [3 ]
Jiang, Feng [4 ]
Cheng, Shuiping [5 ]
Chen, Jie [2 ,5 ]
Yan, Linda [6 ]
机构：
[1] College of Environmental Science and Engineering, Tongji University, Shanghai, China
[2] T.Y. Lin International Engineering Consulting (China) Co., Ltd., Chongqing, China
[3] School of Big Data and Software Engineering, Chongqing University, Chongqing, China
[4] School of Finance and Management, Chongqing Business Vocational College, Chongqing, China
[5] College of Environment and Ecology, Chongqing University, Chongqing, China
[6] School of Engineering, University of Portsmouth, Hampshire, Portsmouth,PO1 2UP, United Kingdom
来源：
International Journal of Wireless and Mobile Computing | 2022年 / 22卷 / 3-4期
关键词：
Deep learning - Natural language processing systems - Pipelines - Water pollution;
D O I：
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学科分类号：
摘要：
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页码：338 / 349
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