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Robert E. Uhrig

Affiliations: 
The University of Tennessee, Knoxville, TN, United States 
Area:
Nuclear Engineering, Statistics, Computer Science
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"Robert Uhrig"
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Parents

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Children

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Claude A. Irvine grad student 2000 University of Tennessee
Aleksey M. Urmanov grad student 2002 University of Tennessee
Mark A. Buckner grad student 2003 University of Tennessee

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Publications

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Hines JW, Uhrig RE. (2005) Trends in computational intelligence in nuclear engineering Progress in Nuclear Energy. 46: 167-175
Gribok AV, Urmanov AM, Hines JW, et al. (2004) Backward specification of prior in Bayesian inference as an inverse problem Inverse Problems in Science and Engineering. 12: 263-278
Rasmussen B, Hines JW, Uhrig RE. (2003) A novel approach to process modeling for instrument surveillance and calibration verification Nuclear Technology. 143: 217-226
Uhrig RE, Tsoukalas LH. (2003) Multi-agent-based anticipatory control for enhancing the safety and performance of generation-IV nuclear power plants during long-term semi-autonomous operation Progress in Nuclear Energy. 43: 113-120
Urmanov AM, Gribok AV, Hines JW, et al. (2002) An information approach to regularization parameter selection under model misspecification Inverse Problems. 18: 1207-1228
Urmanov AM, Gribok AV, Bozdogan H, et al. (2002) Information complexity-based regularization parameter selection for solution of ill conditioned inverse problems Inverse Problems. 18
Gribok AV, Hines JW, Urmanov A, et al. (2002) Heuristic, systematic, and informational regularization for process monitoring International Journal of Intelligent Systems. 17: 723-749
Gribok AV, Attieh IK, Hines JW, et al. (2001) Regularization of feedwater flow rate evaluation for venturi meter fouling problem in nuclear power plants Nuclear Technology. 134: 3-14
Gribok AV, Attieh IK, Hines JW, et al. (2001) Stochastic regularization of feedwater flow rate evaluation for the venturi meter fouling problem in nuclear power plants Inverse Problems in Engineering. 9: 671-696
Uhrig RE, Tsoukalas LH. (1999) Soft computing technologies in nuclear engineering applications Progress in Nuclear Energy. 34: 13-75
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