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Journal Article
S. S. Deshpande, Joshi, J. B., V. Kumar, R., and Kulkarni, B. D., Identification and characterization of flow structures in chemical process equipment using multiresolution techniques, Chemical Engineering Science, vol. 63, no. 21, pp. 5330-5346, 2008.
O. C. Kulkarni, Vigneshwar, R., Jayaraman, V. K., and Kulkarni, B. D., Identification of coding and non-coding sequences using local holder exponent formalism, Bioinformatics, vol. 21, no. 20, pp. 3818-3823, 2005.
S. Karnik, Mitra, J., Singh, A., Kulkarni, B. D., Sundarajan, V., and Jayaraman, V. K., Identification of N-glycosylation sites with sequence and structural features employing random forests, Pattern Recognition and Machine Intelligence, Proceedings, vol. 5909, pp. 146-151, 2009.
B. K. Vaidya, Ingavle, G. C., Ponrathnam, S., Kulkarni, B. D., and Nene, S. N., Immobilization of Candida rugosa lipase on poly(allyl glycidyl ether-co-thylene glycol dimethacrylate) macroporous polymer particles, Bioresource Technology, vol. 99, no. 9, pp. 3623-3629, 2008.
Y. P. Badhe, Lonari, J., Tambe, S. S., Kulkarni, B. D., Valecha, N. K., Deshmukh, S. V., and Ravichandran, S., Improve polyethylene process control and product quality - using artificial intelligence-based sensors can improve costs, Hydrocarbon Processing , vol. 86, no. 3, p. 53+, 2007.
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.
K. Dinkar Sarode, V. Kumar, R., and Kulkarni, B. D., Inverse problem studies of biochemical systems with structure identification of S-systems by embedding training functions in a genetic algorithm, Mathematical Biosciences, vol. 275, pp. 93-106, 2016.