Machine Learning for Heavy Metal Removal from Water: Recent Advances and Challenges

Author:

Yuan Xiangzhou12ORCID,Li Jie3ORCID,Lim Juin Yau245,Zolfaghari Ashkan6ORCID,Alessi Daniel S.7ORCID,Wang Yin3ORCID,Wang Xiaonan8,Ok Yong Sik2ORCID

Affiliation:

1. Ministry of Education of Key Laboratory of Energy Thermal Conversion and Control, School of Energy and Environment, Southeast University, Nanjing 210096, China

2. Korea Biochar Research Center, APRU Sustainable Waste Management Program & Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea

3. CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China

4. School of Business Administration, Korea University, Seoul 02841, Republic of Korea

5. International ESG Association (IESGA), Seoul 06621, Republic of Korea

6. Suncor Energy Inc., Calgary, Alberta T2P 3E3, Canada

7. Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta T6G 2E3, Canada

8. Department of Chemical Engineering, Tsinghua University, Beijing 100084, China

Funder

Rural Development Administration

National Research Foundation of Korea

Southeast University

Korea University

Publisher

American Chemical Society (ACS)

Subject

Water Science and Technology,Environmental Chemistry,Chemistry (miscellaneous),Chemical Engineering (miscellaneous)

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