( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Deeppipe: A hybrid model for multi-product pipeline condition recognition based on process and data coupling.

, , , , , , и . Comput. Chem. Eng., (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Liang Liang

Liang-Liang Fu

Shu Chuan Liang

Dsin Dshin Liang

Qian Liang

 

Другие публикации лиц с тем же именем

An integrated methodology for the supply reliability analysis of multi-product pipeline systems under pumps failure., , , и . Reliab. Eng. Syst. Saf., (2020)Deeppipe: a customized generative model for estimations of liquid pipeline leakage parameters., , , , , , , и . Comput. Chem. Eng., (2021)Improved PSO-Based Method for Leak Detection and Localization in Liquid Pipelines., , , , , и . IEEE Trans. Ind. Informatics, 14 (7): 3143-3154 (2018)A MILP model based on flowrate database for detailed scheduling of a multi-product pipeline with multiple pump stations., , , , и . Comput. Chem. Eng., (2018)Robust Optimization for Emergency Scheduling of Oil Products After Disaster., , , , , , и . IEEE Access, (2019)Scheduling of a branched multiproduct pipeline system with robust inventory management., , , , , и . Comput. Ind. Eng., (2021)An automatic detailed scheduling method of refined products pipeline., , , , , и . ICCA, стр. 816-823. IEEE, (2016)A methodology to restructure a pipeline system for an oilfield in the mid to late stages of development., , , , , и . Comput. Chem. Eng., (2018)Deeppipe: A hybrid model for multi-product pipeline condition recognition based on process and data coupling., , , , , , и . Comput. Chem. Eng., (2022)Pipeline pricing and logistics planning in the refined product supply chain based on fair profit distribution., , , , , , и . Comput. Ind. Eng., (2023)