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2020 – today
- 2023
[j10]Luís Felipe Da Silva Carlos Pereira
, Edson Antonio Batista, João Onofre Pereira Pinto, Belle R. Upadhyaya, J. Wesley Hines:
A New Proposal Generalized Predictive Control Algorithm With Polynomial Reference Tracking Applied for Sodium Fast Reactors. IEEE Access 11: 30077-30093 (2023)
2010 – 2019
- 2019
- [j9]Fan Zhang, Hansaka Angel Dias Edirisinghe Kodituwakku, J. Wesley Hines, Jamie Coble:
Multilayer Data-Driven Cyber-Attack Detection System for Industrial Control Systems Based on Network, System, and Process Data. IEEE Trans. Ind. Informatics 15(7): 4362-4369 (2019) - 2014
- [c5]Andrei V. Gribok, William Rumpler, J. Wesley Hines, Reed W. Hoyt, Mark J. Buller:
Subcutaneous Glucose Concentration as a Predictor Variable for Energy Expenditure during Resistance Exercise in Humans. BSN 2014: 16-21 - 2012
- [j8]Matt Humberstone, Brian Wood, James Henkel, J. Wesley Hines:
Differentiating between expanded and fault conditions using principal component analysis. J. Intell. Manuf. 23(2): 179-188 (2012)
2000 – 2009
- 2008
- [j7]J. Wesley Hines, Alexander Usynin:
Current Computational Trends in Equipment Prognostics. Int. J. Comput. Intell. Syst. 1(1): 94-102 (2008) - 2007
- [j6]J. Wesley Hines, Dustin Garvey:
Process and equipment monitoring methodologies applied to sensor calibration monitoring. Qual. Reliab. Eng. Int. 23(1): 123-135 (2007) - [j5]Olufemi A. Omitaomu, Myong Kee Jeong, Adedeji B. Badiru, J. Wesley Hines:
Online Support Vector Regression Approach for the Monitoring of Motor Shaft Misalignment and Feedwater Flow Rate. IEEE Trans. Syst. Man Cybern. Part C 37(5): 962-970 (2007) - [c4]Dustin Garvey, J. Wesley Hines:
Dynamic Prognoser Architecture via the Path Classification and Estimation (PACE) Model. AAAI Fall Symposium: Artificial Intelligence for Prognostics 2007: 44-49 - [c3]Alexander Usynin, J. Wesley Hines:
Uncertainty Management in Shock Models Applied to Prognostic Problems. AAAI Fall Symposium: Artificial Intelligence for Prognostics 2007: 137- - 2005
- [c2]Alexander Usynin, J. Wesley Hines:
Use of Kernel (Regression) Based Methods for Sensor Validation. CDES 2005: 233-239 - 2004
- [j4]Andrei V. Gribok, Aleksey M. Urmanov, J. Wesley Hines:
Uncertainty Analysis of Memory Based Sensor Validation Techniques. Real Time Syst. 27(1): 7-26 (2004) - [j3]Jun Ding, Andrei V. Gribok, J. Wesley Hines, Brandon Rasmussen:
Redundant Sensor Calibration Monitoring Using Independent Component Analysis and Principal Component Analysis. Real Time Syst. 27(1): 27-47 (2004) - 2002
- [j2]Andrei V. Gribok, J. Wesley Hines, Aleksey M. Urmanov, Robert E. Uhrig:
Heuristic, systematic, and informational regularization for process monitoring. Int. J. Intell. Syst. 17(8): 723-749 (2002)
1990 – 1999
- 1998
- [j1]J. Wesley Hines, Robert E. Uhrig, Darryl J. Wrest:
Use of Autoassociative Neural Networks for Signal Validation. J. Intell. Robotic Syst. 21(2): 143-154 (1998) - 1996
- [c1]J. Wesley Hines:
A logarithmic neural network architecture for unbounded non-linear function approximation. ICNN 1996: 1245-1250
Coauthor Index
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