%0 Journal Article %1 journals/cce/WangZLLCLZ22 %A Wang, Chang %A Zheng, Jianqin %A Liang, Yongtu %A Li, Miao %A Chen, Wencai %A Liao, Qi %A Zhang, Haoran %D 2022 %J Comput. Chem. Eng. %K dblp %P 107733 %T Deeppipe: A hybrid model for multi-product pipeline condition recognition based on process and data coupling. %U http://dblp.uni-trier.de/db/journals/cce/cce160.html#WangZLLCLZ22 %V 160

@article{journals/cce/WangZLLCLZ22, added-at = {2022-07-29T00:00:00.000+0200}, author = {Wang, Chang and Zheng, Jianqin and Liang, Yongtu and Li, Miao and Chen, Wencai and Liao, Qi and Zhang, Haoran}, biburl = {https://www.bibsonomy.org/bibtex/241c1ac2e35f5e836a499cd76cc2312f3/dblp}, ee = {https://doi.org/10.1016/j.compchemeng.2022.107733}, interhash = {c4a1290ba628f25b421e25aea3be8a9b}, intrahash = {41c1ac2e35f5e836a499cd76cc2312f3}, journal = {Comput. Chem. Eng.}, keywords = {dblp}, pages = 107733, timestamp = {2024-04-08T09:35:36.000+0200}, title = {Deeppipe: A hybrid model for multi-product pipeline condition recognition based on process and data coupling.}, url = {http://dblp.uni-trier.de/db/journals/cce/cce160.html#WangZLLCLZ22}, volume = 160, year = 2022 }