The Application of Machine Learning: Controlling the Preparation of Environmental Materials and Carbon Neutrality

Zhenxing Wang; Yunjun Yu; Kallol Roy; Cheng Gao; Lei Huang

doi:10.3390/ijerph20031871

The Application of Machine Learning: Controlling the Preparation of Environmental Materials and Carbon Neutrality

Int J Environ Res Public Health. 2023 Jan 19;20(3):1871. doi: 10.3390/ijerph20031871.

Authors

Zhenxing Wang¹, Yunjun Yu¹, Kallol Roy², Cheng Gao³, Lei Huang⁴

Affiliations

¹ South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou 510655, China.
² Institute of Computer Science, Faculty of Science and Technology, University of Tartu, 51009 Tartu, Estonia.
³ College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.
⁴ School of Environmental Science and Engineering, Guangzhou University, Guangzhou 510006, China.

Abstract

The greenhouse effect is a severe global problem [...].

Publication types

Editorial
Research Support, Non-U.S. Gov't

MeSH terms

Carbon
Carbon Dioxide
Greenhouse Effect
Machine Learning*
Social Conditions*

Substances

Carbon
Carbon Dioxide

Grants and funding

This work was financially supported by the Major Science and Technology Program for Water Pollution Control and Treatment (2017ZX07101003); the National Key Research and Development Project (2019YFC1804800); the Science and Technology Program of Guangdong Forestry Administration (2020-KYXM-08); the Pearl River S&T Nova Program of Guangzhou, China (201710010065); the European Social Fund via IT Academy program; the Tertiary Education Scientific research project of Guangzhou Municipal Education Bureau (202235542); and the Two-way Exchange of Young Talents project from Guangdong and Macao in Guangdong Province.