Jeremy S. Conner, Ph.D. - Publications
Affiliations: | 2004 | University of California, Santa Barbara, Santa Barbara, CA, United States |
Area:
Chemical EngineeringYear | Citation | Score | |||
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2009 | Gunther JC, Conner JS, Seborg DE. Process monitoring and quality variable prediction utilizing PLS in industrial fed-batch cell culture Journal of Process Control. 19: 914-921. DOI: 10.1016/J.Jprocont.2008.11.007 | 0.738 | |||
2009 | Gunther JC, Baclaski J, Seborg DE, Conner JS. Pattern matching in batch bioprocesses-Comparisons across multiple products and operating conditions Computers and Chemical Engineering. 33: 88-96. DOI: 10.1016/J.Compchemeng.2008.07.001 | 0.71 | |||
2008 | Gunther JC, Conner JS, Seborg DE. PLS pattern matching in design of experiment, batch process data Chemometrics and Intelligent Laboratory Systems. 94: 43-50. DOI: 10.1016/J.Chemolab.2008.06.011 | 0.714 | |||
2007 | Gunther JC, Conner JS, Seborg DE. Fault detection and diagnosis in an industrial fed-batch cell culture process. Biotechnology Progress. 23: 851-7. PMID 17672519 DOI: 10.1021/Bp070063M | 0.736 | |||
2007 | Kirdar AO, Conner JS, Baclaski J, Rathore AS. Application of multivariate analysis toward biotech processes: case study of a cell-culture unit operation. Biotechnology Progress. 23: 61-7. PMID 17269672 DOI: 10.1021/Bp060377U | 0.583 | |||
2006 | Gunther JC, Seborg DE, Conner JS. FAULT DETECTION AND DIAGNOSIS IN INDUSTRIAL FED-BATCH CELL CULTURE Ifac Proceedings Volumes. 39: 203-208. DOI: 10.3182/20060402-4-Br-2902.00203 | 0.734 | |||
2005 | Conner JS, Seborg DE. Assessing the need for process re-identification Industrial and Engineering Chemistry Research. 44: 2767-2775. DOI: 10.1021/Ie049439G | 0.665 | |||
2004 | Conner JS, Seborg DE, Larimore WE. Analysis of the ΔAIC statistic for optimal detection of small changes in dynamic systems Proceedings of the American Control Conference. 5: 4408-4413. DOI: 10.1109/ACC.2004.182644 | 0.525 | |||
2004 | Conner JS, Seborg DE. An evaluation of MIMO input designs for process identification Industrial and Engineering Chemistry Research. 43: 3847-3854. DOI: 10.1021/Ie034068+ | 0.622 | |||
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