"Deeppipe: A hybrid model for multi-product pipeline condition recognition ..."

Chang Wang et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.COMPCHEMENG.2022.107733

access: closed

type: Journal Article

metadata version: 2025-03-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cce/WangZLLCLZ22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cce/WangZLLCLZ22
Chang Wang, Jianqin Zheng, Yongtu Liang, Miao Li, Wencai Chen, Qi Liao, Haoran Zhang:
Deeppipe: A hybrid model for multi-product pipeline condition recognition based on process and data coupling. Comput. Chem. Eng. 160: 107733 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.