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Predicting polycyclic aromatic hydrocarbons in surface water by a multiscale feature extraction-based deep learning approach.
- Source :
-
Science of the Total Environment . Dec2021, Vol. 799, pN.PAG-N.PAG. 1p. - Publication Year :
- 2021
Details
- Language :
- English
- ISSN :
- 00489697
- Volume :
- 799
- Database :
- Academic Search Index
- Journal :
- Science of the Total Environment
- Publication Type :
- Academic Journal
- Accession number :
- 152950871
- Full Text :
- https://doi.org/10.1016/j.scitotenv.2021.149509