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Zhenyu (James) Kong
Zhenyu (James) Kong
Smart Manufacturing, Industrial & Systems Engineering, Virginia Tech
Zweryfikowany adres z vt.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Online Real-Time Quality Monitoring in Additive Manufacturing Processes Using Heterogeneous Sensors
PK Rao, JP Liu, D Roberson, ZJ Kong, C Williams
ASME Trans. Journal of Manufacturing Science and Engineering 137 (6), 061007, 2015
3102015
Time series forecasting for nonlinear and non-stationary processes: a review and comparative study
C Cheng, A Sa-Ngasoongsong, O Beyca, T Le, H Yang, ZJ Kong, ...
IISE Transactions 47 (10), 1053-1071, 2015
2282015
Image Analysis-based Closed Loop Quality Control for Additive Manufacturing with Fused Filament Fabrication
C Liu, A Law, DM Roberson, ZJ Kong
Journal of Manufacturing Systems 51, 75-86, 2019
1742019
Classifying the Dimensional Variation in Additive Manufactured Parts from Laser-Scanned 3D Point Cloud Data using Machine Learning Approaches
MS Tootooni, A Dsouza, R Donovan, PK Rao, ZJ Kong, P Borgesen
ASME Trans. Journal of Manufacturing Science and Engineering 139 (9), 091005, 2017
153*2017
UseLearn: A novel checklist and usability evaluation method for eLearning systems by criticality metric analysis
A Oztekin, ZJ Kong, O Uysal
International Journal of Industrial Ergonomics 40 (4), 455-469, 2010
1482010
Stream-of-variation (SOVA) modeling II: a generic 3D variation model for rigid body assembly in multistation assembly processes
W Huang, J Lin, ZJ Kong, D Ceglarek
ASME Trans. Journal of manufacturing science and engineering 129 (4), 832-842, 2007
1462007
Predicting the graft survival for heart–lung transplantation patients: an integrated data mining methodology
A Oztekin, D Delen, ZJ Kong
International journal of medical informatics 78 (12), e84-e96, 2009
1442009
In situ investigation into temperature evolution and heat generation during additive friction stir deposition: A comparative study of Cu and Al-Mg-Si
D Garcia, WD Hartley, HA Rauch, RJ Griffiths, R Wang, ZJ Kong, Y Zhu, ...
Additive Manufacturing 34, 101386, 2020
1132020
Stream-of-variation modeling—Part I: A generic three-dimensional variation model for rigid-body assembly in single station assembly processes
W Huang, J Lin, M Bezdecny, Z Kong, D Ceglarek
1092007
A Machine Learning-based Approach to Prognostic Analysis of Thoracic Transplantations
D Delen, A Oztekin, ZJ Kong
Artificial Intelligence in Medicine 49 (1), 33-42, 2010
902010
An Online Sparse Estimation-based Classification Approach for Real-time Monitoring in Advanced Manufacturing Processes from Heterogeneous Sensor Data
K Bastani, P Rao, ZJ Kong
IISE Transaction 48 (7), 579-598, 2016
722016
Real-Time Identification of Incipient Surface Morphology Variations in Ultraprecision Machining Process
P Rao, S Bukkapatnam, O Beyca, ZJ Kong, R Komanduri
ASME Trans. Journal of Manufacturing Science and Engineering 136 (2), 021008, 2014
702014
A robust ensemble-deep learning model for COVID-19 diagnosis based on an integrated CT scan images database
M Maftouni, ACC Law, B Shen, ZJ Kong, Y Zhou, NA Yazdi
IISE Annual Conference and Expo, 632-637, 2021
642021
Additive manufacturing of pharmaceuticals for precision medicine applications: A review of the promises and perils in implementation
M Trivedi, J Jee, S Silva, C Blomgren, VM Pontinha, DL Dixon, ...
Additive Manufacturing 23, 319-328, 2018
642018
Development of a structural equation modeling-based decision tree methodology for the analysis of lung transplantations
A Oztekin, ZJ Kong, D Delen
Decision Support Systems 51 (1), 155-166, 2011
642011
Online non-contact surface finish measurement in machining using graph theory-based image analysis
MS Tootooni, C Liu, D Roberson, R Donovan, PK Rao, ZJ Kong, ...
Journal of Manufacturing Systems 41, 266-276, 2016
622016
Assessment of Dimensional Integrity and Spatial Defect Localization in Additive Manufacturing (AM) using Spectral Graph Theory (SGT)
P Rao, ZJ Kong, C Duty, R Smith, V Kunc, L Love
ASME Trans. Journal of Manufacturing Science and Engineering, 2015
602015
A graph-theoretic approach for quantification of surface morphology variation and its application to chemical mechanical planarization process
PK Rao, OF Beyca, ZJ Kong, STS Bukkapatnam, KE Case, R Komanduri
IISE Transactions 47 (10), 1088-1111, 2015
582015
Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) Process Using Non-Parametric Bayesian Clustering and Evidence Theory
OF Beyca, PK Rao, ZJ Kong, STS Bukkapatnam, R Komanduri
IEEE Trans. on Automation Science and Engineering, 2015
552015
A Spectral Graph Theoretic Approach for Monitoring Multivariate Time Series Data From Complex Dynamical Processes
MS Tootooni, PK Rao, CA Chou, ZJ Kong
IEEE Transactions on Automation Science and Engineering 15 (1), 127 - 144, 2018
512018
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