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Artificial intelligence is transforming the research paradigm of environmental science and engineering

Detalles Bibliográficos
Autores principales: Wang, Xu, Fu, Guangtao, Ren, Nan-Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696158/
http://dx.doi.org/10.1016/j.ese.2023.100346
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author Wang, Xu
Fu, Guangtao
Ren, Nan-Qi
author_facet Wang, Xu
Fu, Guangtao
Ren, Nan-Qi
author_sort Wang, Xu
collection PubMed
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spelling pubmed-106961582023-12-06 Artificial intelligence is transforming the research paradigm of environmental science and engineering Wang, Xu Fu, Guangtao Ren, Nan-Qi Environ Sci Ecotechnol Editorial Elsevier 2023-11-20 /pmc/articles/PMC10696158/ http://dx.doi.org/10.1016/j.ese.2023.100346 Text en © 2023 Published by Elsevier B.V. on behalf of Chinese Society for Environmental Sciences, Harbin Institute of Technology, Chinese Research Academy of Environmental Sciences. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Editorial
Wang, Xu
Fu, Guangtao
Ren, Nan-Qi
Artificial intelligence is transforming the research paradigm of environmental science and engineering
title Artificial intelligence is transforming the research paradigm of environmental science and engineering
title_full Artificial intelligence is transforming the research paradigm of environmental science and engineering
title_fullStr Artificial intelligence is transforming the research paradigm of environmental science and engineering
title_full_unstemmed Artificial intelligence is transforming the research paradigm of environmental science and engineering
title_short Artificial intelligence is transforming the research paradigm of environmental science and engineering
title_sort artificial intelligence is transforming the research paradigm of environmental science and engineering
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696158/
http://dx.doi.org/10.1016/j.ese.2023.100346
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