biblio

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2006
A. M. Jade, Jayaraman, V. K., and Kulkarni, B. D., Improved time series prediction with a new method for selection of model parameters, Journal of Physics A-Mathematical and General, vol. 39, no. 30, pp. L483-L491, 2006.
2007
A. B. Gandhi, Joshi, J. B., Jayaraman, V. K., and Kulkarni, B. D., Data-driven dynamic modeling and control of a surface aeration system, Industrial & Engineering Chemistry Research, vol. 46, no. 25, pp. 8607-8613, 2007.
A. B. Gandhi, Joshi, J. B., Jayaraman, V. K., and Kulkarni, B. D., Development of support vector regression (SVR)-based correlation for prediction of overall gas hold-up in bubble column reactors for various gas-liquid systems, Chemical Engineering Science, vol. 62, no. 24, pp. 7078-7089, 2007.
Rajshekhar, Gupta, A., Samanta, A. N., Kulkarni, B. D., and Jayaraman, V. K., Fault diagnosis using dynamic time warping, in Pattern Recognition and Machine Intelligence, Proceedings, Heidelberger Platz 3, D-14197 Berlin, Germany, 2007, vol. 4815, pp. 57-66.
P. Kumar, Jayaraman, V. K., and Kulkarni, B. D., Granular support vector machine based method for prediction of solubility of proteins on overexpression in Escherichia coli, in Pattern Recognition and Machine Intelligence, Proceedings, Heidelberger Platz 3, D-14197 Berlin, Germany, 2007, vol. 4815, pp. 406-415.
P. Mundra, Kumar, M., K. Kumar, K., Jayaraman, V. K., and Kulkarni, B. D., Using pseudo amino acid composition to predict protein subnuclear localization: approached with PSSM, Pattern Recognition Letters, vol. 28, no. 13, pp. 1610-1615, 2007.
J. Mitra, Mundra, P., Kulkarni, B. D., and Jayaraman, V. K., Using recurrence quantification analysis descriptors for protein sequence classification with support vector machines, Journal of Biomolecular Structure & Dynamics, vol. 25, no. 3, pp. 289-297, 2007.