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Zhang, Chao, Li, Xiaoyong, Li, Feng, Li, Gugong, Niu, Guoqiang, Chen, Hongyu, Ying, Guang-Guo, Huang, Mingzhi (2022) Accurate prediction and further dissection of neonicotinoid elimination in the water treatment by CTS@AgBC using multihead attention-based convolutional neural network combined with the time-dependent Cox regression model. Journal of Hazardous Materials, 423. 127029pp. doi:10.1016/j.jhazmat.2021.127029

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Reference TypeJournal (article/letter/editorial)
TitleAccurate prediction and further dissection of neonicotinoid elimination in the water treatment by CTS@AgBC using multihead attention-based convolutional neural network combined with the time-dependent Cox regression model
JournalJournal of Hazardous Materials
AuthorsZhang, ChaoAuthor
Li, XiaoyongAuthor
Li, FengAuthor
Li, GugongAuthor
Niu, GuoqiangAuthor
Chen, HongyuAuthor
Ying, Guang-GuoAuthor
Huang, MingzhiAuthor
Year2022 (February)Volume423
PublisherElsevier BV
DOIdoi:10.1016/j.jhazmat.2021.127029Search in ResearchGate
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Mindat Ref. ID13666253Long-form Identifiermindat:1:5:13666253:4
GUID0
Full ReferenceZhang, Chao, Li, Xiaoyong, Li, Feng, Li, Gugong, Niu, Guoqiang, Chen, Hongyu, Ying, Guang-Guo, Huang, Mingzhi (2022) Accurate prediction and further dissection of neonicotinoid elimination in the water treatment by CTS@AgBC using multihead attention-based convolutional neural network combined with the time-dependent Cox regression model. Journal of Hazardous Materials, 423. 127029pp. doi:10.1016/j.jhazmat.2021.127029
Plain TextZhang, Chao, Li, Xiaoyong, Li, Feng, Li, Gugong, Niu, Guoqiang, Chen, Hongyu, Ying, Guang-Guo, Huang, Mingzhi (2022) Accurate prediction and further dissection of neonicotinoid elimination in the water treatment by CTS@AgBC using multihead attention-based convolutional neural network combined with the time-dependent Cox regression model. Journal of Hazardous Materials, 423. 127029pp. doi:10.1016/j.jhazmat.2021.127029
In(2022) Journal of Hazardous Materials Vol. 423. Elsevier BV

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