id cracsoc:10.1021/acs.est.9b05000
record_format openpolar
spelling cracsoc:10.1021/acs.est.9b05000 2024-10-13T14:04:19+00:00 Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic Zhao, Yuan Wang, Li Luo, Jinmu Huang, Tao Tao, Shu Liu, Junfeng Yu, Yong Huang, Yufei Liu, Xinrui Ma, Jianmin Ministry of Science and Technology of the People's Republic of China National Natural Science Foundation of China 2019 http://dx.doi.org/10.1021/acs.est.9b05000 https://pubs.acs.org/doi/pdf/10.1021/acs.est.9b05000 en eng American Chemical Society (ACS) https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 https://doi.org/10.15223/policy-045 Environmental Science & Technology volume 53, issue 22, page 13238-13245 ISSN 0013-936X 1520-5851 journal-article 2019 cracsoc https://doi.org/10.1021/acs.est.9b05000 2024-09-19T04:06:19Z Article in Journal/Newspaper Arctic ACS Publications Arctic Environmental Science & Technology 53 22 13238 13245
institution Open Polar
collection ACS Publications
op_collection_id cracsoc
language English
author2 Ministry of Science and Technology of the People's Republic of China
National Natural Science Foundation of China
format Article in Journal/Newspaper
author Zhao, Yuan
Wang, Li
Luo, Jinmu
Huang, Tao
Tao, Shu
Liu, Junfeng
Yu, Yong
Huang, Yufei
Liu, Xinrui
Ma, Jianmin
spellingShingle Zhao, Yuan
Wang, Li
Luo, Jinmu
Huang, Tao
Tao, Shu
Liu, Junfeng
Yu, Yong
Huang, Yufei
Liu, Xinrui
Ma, Jianmin
Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic
author_facet Zhao, Yuan
Wang, Li
Luo, Jinmu
Huang, Tao
Tao, Shu
Liu, Junfeng
Yu, Yong
Huang, Yufei
Liu, Xinrui
Ma, Jianmin
author_sort Zhao, Yuan
title Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic
title_short Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic
title_full Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic
title_fullStr Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic
title_full_unstemmed Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic
title_sort deep learning prediction of polycyclic aromatic hydrocarbons in the high arctic
publisher American Chemical Society (ACS)
publishDate 2019
url http://dx.doi.org/10.1021/acs.est.9b05000
https://pubs.acs.org/doi/pdf/10.1021/acs.est.9b05000
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Environmental Science & Technology
volume 53, issue 22, page 13238-13245
ISSN 0013-936X 1520-5851
op_rights https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
https://doi.org/10.15223/policy-045
op_doi https://doi.org/10.1021/acs.est.9b05000
container_title Environmental Science & Technology
container_volume 53
container_issue 22
container_start_page 13238
op_container_end_page 13245
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