Modeling and Predicting Surface Roughness in Hard Turning Using a Bayesian Inference-Based HMM-SVM Model. - Kang He 003; Qingsong Xu; Minping Jia (IEEE Trans Autom. Sci. Eng., 2015)

Optimal Sensor Deployment for Manufacturing Process Monitoring Based on Quantitative Cause-Effect Graph. - Kang He 003; Minping Jia; Qingsong Xu (IEEE Trans Autom. Sci. Eng., 2016)

Research on the Connotation and Measurement of Uncertainty for Reassembly Dimensions Based on Entropy. - Conghu Liu; Kang He 003 (INCoS, 2017)

A Review of Optimal Sensor Deployment to Diagnose Manufacturing Systems. - Kang He 003; Minping Jia; Conghu Liu (IEEE Access, 2018)

Dynamic Bayesian Network-Based Approach by Integrating Sensor Deployment for Machining Process Monitoring. - Kang He 003; Zhuanzhe Zhao; Minping Jia; Conghu Liu (IEEE Access, 2018)

Research on data mining technology for the connotation and measurement of uncertainty for reassembly dimensions. - Conghu Liu; Kang He 003; Yingfeng Zhang; Changyi Liu (Int. J. High Perform. Syst. Archit., 2018)

Soft Computing Techniques for Surface Roughness Prediction in Hard Turning: A Literature Review. - Kang He 003; Mengdi Gao; Zhuanzhe Zhao (IEEE Access, 2019)