Bakshi, Bhavik R.- Department of Chemical and Biomolecular Engineering, Ohio State University

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Bakshi, Bhavik R.- Department of Chemical and Biomolecular Engineering, Ohio State University

Interplay of large materials databases, semi-empirical methods, neuro-computing and rst principle calculations for ternary
On-Line Multiscale Filtering of Random and Gross Errors without Process Models
Promise and Problems of Emergy Analysis Jorge L. Hau and Bhavik R. Bakshi
Bayesian Principal Component Analysis Mohamed N. Nounou, Bhavik R. Bakshi*
Process Modeling by Bayesian Latent Variable Regression Mohamed N. Nounou, Bhavik R. Bakshi*
Computers and Chemical Engineering 24 (2000) 445451 A multiscale, Bayesian and error-in-variables approach for linear
MULTISCALE ANALYSIS AND MODELING USING WAVELETS BHAVIK R. BAKSHI*
LJournal of Alloys and Compounds 279 (1998) 3946 Unification of neural and statistical methods as applied to materials
Multiscale PCA with Application to Multivariate Statistical Process Monitoring
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LJournal of Alloys and Compounds 317318 (2001) 2638 www.elsevier.com/locate/jallcom
Introduction La new strategic significance to the term "sustainability." No
Multiscale SPC Using Wavelets -Theoretical Analysis and Hrishikesh B. Aradhye1
Computers and Chemical Engineering 24 (2000) 17671773 A thermodynamic framework for ecologically conscious process
Computers and Chemical Engineering 24 (2000) 175181 Comparison of statistical process monitoring methods: application