Deep learning for water quality
Pennsylvania State University · Hohai University · +5 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
258
total citations
- FWCI
- 47.93
- Percentile
- 100%
- References
- 154
Citations per year
Authors
5- WZWei ZhiCorresponding
Pennsylvania State University, Hohai University, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Ministry of Water Resources of the People's Republic of China
- AAAlison Appling
United States Geological Survey
- HEHeather E. Golden
Environmental Protection Agency
- JPJoel Podgorski
Swiss Federal Institute of Aquatic Science and Technology
- LLLi Li
Pennsylvania State University
Topics & keywords
Topics
Keywords
- Scarcity
- Quality (philosophy)
- Context (archaeology)
- Data science
- Deep learning
- Computer science
- Water scarcity
- Data quality
UN Sustainable Development Goals
- Clean water and sanitation
No related works found for this paper.
Funding
- NSNational Science FoundationAwards: EAR-2012123, 2121621, EAR-2012669, 2012669, 2012123, 2034214
- UDU.S. Department of EnergyAwards: SC0020146, DE-SC0020146
- UEU.S. Environmental Protection Agency
- UOUniversity of Pennsylvania
- PSPennsylvania State University
- NNNational Natural Science Foundation of ChinaAward: 52121006