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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.