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- Title
Correction to: Oil pollutant identification based on excitation‑emission matrix of UV‑induced fluorescence and deep convolutional neural network.
- Authors
Li, Ying; Jia, Yunpeng; Cai, Xiaohua; Xie, Ming; Zhang, Zhenduo
- Abstract
Correction to: Oil pollutant identification based on excitation-emission matrix of UV-induced fluorescence and deep convolutional neural network Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. B Correction to: Environmental Science and Pollution Research (2022) 29:68152-68160 b https://doi.org/10.1007/s11356-022-20392-x In the Funding, "Science and Technology Program of Liaoning Province [grant number 2020020110-JH2/101]" should be revised as "Science and Technology Program of Liaoning Province [grant number 2020JH2/10100015]".
- Subjects
CONVOLUTIONAL neural networks; POLLUTANTS; FLUORESCENCE; DEEP learning; PETROLEUM; HOPFIELD networks
- Publication
Environmental Science & Pollution Research, 2022, Vol 29, Issue 59, p89806
- ISSN
0944-1344
- Publication type
Correction Notice
- DOI
10.1007/s11356-022-23884-y