Zhenyu Kong

Industrial Engineering & Management Oklahoma State University, Stillwater, OK, United States 
Industrial Engineering, Nanotechnology, Statistics
"Zhenyu Kong"
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Bastani K, Kim S, Kong ZJ, et al. (2016) Online Classification and Sensor Selection Optimization With Applications to Human Material Handling Tasks Using Wearable Sensing Technologies Ieee Transactions On Human-Machine Systems
Tootooni MS, Rao PK, Chou CA, et al. (2016) A spectral graph theoretic approach for monitoring multivariate time series data from complex dynamical processes Ieee Transactions On Automation Science and Engineering
Beyca OF, Rao PK, Kong Z, et al. (2016) Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) Process Using Non-Parametric Bayesian Clustering and Evidence Theory Ieee Transactions On Automation Science and Engineering. 13: 1033-1044
Rao PK, Bhushan MB, Bukkapatnam STS, et al. (2014) Process-machine interaction (PMI) modeling and monitoring of chemical mechanical planarization (CMP) process using wireless vibration sensors Ieee Transactions On Semiconductor Manufacturing. 27: 1-15
Oztekin A, Kong ZJ, Delen D. (2011) Development of a structural equation modeling-based decision tree methodology for the analysis of lung transplantations Decision Support Systems. 51: 155-166
Delen D, Oztekin A, Kong ZJ. (2010) A machine learning-based approach to prognostic analysis of thoracic transplantations. Artificial Intelligence in Medicine. 49: 33-42
Kong Z, Oztekin A, Beyca OF, et al. (2010) Process performance prediction for chemical mechanical planarization (CMP) by integration of nonlinear bayesian analysis and statistical modeling Ieee Transactions On Semiconductor Manufacturing. 23: 316-327
Huang W, Kong Z. (2010) Process capability sensitivity analysis for design evaluation of multistage assembly processes Ieee Transactions On Automation Science and Engineering. 7: 736-745
Oztekin A, Kong ZJ, Uysal O. (2010) UseLearn: A novel checklist and usability evaluation method for eLearning systems by criticality metric analysis International Journal of Industrial Ergonomics. 40: 455-469
Oztekin A, Delen D, Kong ZJ. (2009) Predicting the graft survival for heart-lung transplantation patients: an integrated data mining methodology. International Journal of Medical Informatics. 78: e84-96
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