Qingkai Wang

发表

An Operational Adjustment Framework for a Complex Industrial Process Based on Hybrid Bayesian Network

Fuli Wang, Hao Yan, Dakuo He, 2020, IEEE Transactions on Automation Science and Engineering.

Fuzzy distributional chance-constrained programming for handling stochastic and epistemic uncertainties during flotation processes

Yu Liang, Dakuo He, Qingkai Wang, 2020 .

Bayesian Network-Based Modeling and Operational Adjustment of Plantwide Flotation Industrial Process

Fuli Wang, Hao Yan, Luping Zhao, 2020 .

Reconciliation of empirical correlations and CFD results for hydrocyclone performance for application in process modelling

Junwu Zhou, Tianhao Yang, Song Tao, 2019 .

Safety control modeling method based on Bayesian network transfer learning for the thickening process of gold hydrometallurgy

Fuli Wang, Hui Li, Hongru Li, 2020, Knowl. Based Syst..

A time-delay analysis method for the variables of grinding process

Jianjun Zhao, Gang Yu, Junwu Zhou, 2018 .

An intelligent control strategy for thickening process

Ning Xu, Junwu Zhou, Wen Fang, 2015 .

Active Learning Based Support Vector Data Description for Large Data Set Novelty Detection

Lili Yin, Huangang Wang, Wenhui Fan, 2017 .

Process Feature Change Recognition Based on Model Performance Monitoring and Adaptive Model Correction for the Gold Cyanidation Leaching Process

Qing Liu, Dakuo He, Jianjun Zhao, 2019, IEEE Access.

Bayesian Network-based Technical Index Estimation for Industrial Flotation Process under Incomplete Data

Fuli Wang, Jin Zhu, Hao Yan, 2020, 2020 Chinese Control And Decision Conference (CCDC).