Deep Neural Network-Based Electron Microscopy Image Recognition for Source Distinguishing of Anthropogenic and Natural Magnetic Particles-Reference-Cited by-同舟云学术

Deep Neural Network-Based Electron Microscopy Image Recognition for Source Distinguishing of Anthropogenic and Natural Magnetic Particles

Published:2023-10-06 Issue:43 Volume:57 Page:16465-16476
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Liu Lin¹²,Chen Tianyou³,Zhang Qinghua¹⁴,Zhang Weican¹²,Yang Hang¹²,Hu Xiaoguang³,Xiao Jin³,Liu Qian¹²⁵^ORCID,Jiang Guibin¹²^ORCID

Affiliation:

1. State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

3. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China

4. College of Geography and Environmental Science, Henan University, Kaifeng 475004, China

5. Institute of Environment and Health, Jianghan University, Wuhan 430056, China

Funder

K. C. Wong Education Foundation

National Natural Science Foundation of China

Chinese Academy of Sciences

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.3c05252

Reference59 articles.

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4. A review of atmospheric individual particle analyses: Methodologies and applications in environmental research

5. Testing the iron hypothesis in ecosystems of the equatorial Pacific Ocean