biblio

Export 52 results:
Filters: Author is Kulkarni, B. D.  [Clear All Filters]
Conference Paper
A. Joshi, Rajshekhar,, Chandran, S., Phadke, S., Jayaraman, V. K., and Kulkarni, B. D., Arrhythmia classification using local Holder exponents and support vector machine, in 1st International Conference on Pattern Recognition and Machine Intelligence, Statist Inst. Kolkata, India, 2005, vol. 3776, pp. 242-247.
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.
Journal Article
V. Patil-Shinde, Kukarni, T., Kulkarni, R., Chavan, P. D., Sharma, T., Sharma, B. Kumar, Tambe, S. S., and Kulkarni, B. D., Artificial intelligence-based modeling of high ash coal gasification in a pilot plant scale fluidized bed gasifier, Industrial & Engineering Chemistry Research , vol. 53, no. 49, pp. 18678-18689, 2014.
C. J. Gadgil and Kulkarni, B. D., Autocatalysis: a unit process of biological systems, Chemical Engineering Progress, vol. 105, no. 3, p. 8, 2009.
C. J. Gadgil and Kulkarni, B. D., Autocatalysis in biological systems, Aiche Journal, vol. 55, no. 3, pp. 556-562, 2009.
N. A. Gokhale, Trivedi, N. S., Mandavgane, S. A., and Kulkarni, B. D., Biomass ashes as potent adsorbent for pesticide: prediction of adsorption capacity by artificial neural network, International Journal of Environmental Science and Technology, vol. 17, no. 6, pp. 3209-3216, 2020.
R. R. Sonolikar, Patil, M. P., Mankar, R. B., Tambe, S. S., and Kulkarni, B. D., Bubble size prediction in gas-solid fluidized beds using genetic programming , Current Science , vol. 115, no. 10, pp. 1904-1912, 2018.
H. G. Joglekar, Rahman, I., Babu, S., Kulkarni, B. D., and Joshi, A., Comparative assessment of downstream processing options for lactic acid, Separation and Purification Technology, vol. 52, no. 1, pp. 1-17, 2006.
H. Kakkad, Khot, M., Zinjarde, S. S., RaviKumar, A., V. Kumar, R., and Kulkarni, B. D., Conversion of dried aspergillus candidus mycelia grown on waste whey to biodiesel by in situ acid transesterification, Bioresource Technology, vol. 197, pp. 502-507, 2015.
P. Jain, Rahman, I., and Kulkarni, B. D., Development of a soft sensor for a batch distillation column using support vector regression techniques, Chemical Engineering Research & Design , vol. 85, no. A2, pp. 283-287, 2007.
N. Solanki, Jotania, R. B., Khomane, R. B., and Kulkarni, B. D., Effect of different temperature on structural, magnetic and dielectric properties of strontium hexaferrite powder synthesised using aloe vera plant extracts, Advanced Science Letters, vol. 22, no. 4, pp. 869-875, 2016.
A. A. Kulkarni, Deshpande, S. S., Joshi, J. B., V. Kumar, R., and Kulkarni, B. D., Effect of sparger design on the flow in a bubble column: symbolic analysis of LDA data, Industrial & Engineering Chemistry Research, vol. 46, no. 10, pp. 2996-3007, 2007.
K. Dinkar Sarode, V. Kumar, R., and Kulkarni, B. D., Embedded multiple shooting methodology in a genetic algorithm framework for parameter estimation and state identification of complex systems, Chemical Engineering Science, vol. 134, pp. 605-618, 2015.
I. Rahman, Das, A. Kr., Mankar, R. B., and Kulkarni, B. D., Evaluation of repulsive particle swarm method for phase equilibrium and phase stability problems, Fluid Phase Equilibria, vol. 282, no. 2, pp. 65-67, 2009.
N. S. Pujari, Inamdar, S. R., Ambekar, J. D., Kulkarni, B. D., and Ponrathnam, S., Exhaustive analysis of frontal copolymerization of functionalized monovinyl and divinyl monomers, Chemistry-A European Journal, vol. 13, no. 20, pp. 5862-5872, 2007.
P. A. Apte, Pingua, N., Gautam, A. Kumar, Kumar, U., Willow, S. Yoo, Zeng, X. Cheng, and Kulkarni, B. D., Freezing tendency towards 4-coordinated amorphous networks causes an increase in the heat capacity of supercooled Stillinger-Weber silicon, RSC Advances, vol. 5, no. 55, pp. 44679-44686, 2015.
R. R. Sonolikar, Patil, M. P., Mankar, R. B., Tambe, S. S., and Kulkarni, B. D., Genetic programming based drag model with improved prediction accuracy for fluidization systems, International journal of Chemical Reactor Engineering, vol. 15, no. 2, 2017.
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.
A. Kulkarni, Jayaraman, V. K., and Kulkarni, B. D., Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process, Computers & Chemical Engineering, vol. 29, no. 10, pp. 2128-2133, 2005.
B. D. Kulkarni, L. K. Doraiswamy (1927-2012), Current Science, vol. 103, no. 5, pp. 571-572, 2012.
P. S. Shelokar, Jayaraman, V. K., and Kulkarni, B. D., Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes, European Journal of Operational Research, vol. 185, no. 3, pp. 1213-1229, 2008.
M. Meshram, Kulkarni, A., Jayaraman, V. K., Kulkarni, B. D., and Lele, S. S., Optimal xylanase production using Penicilium janthinellum NCIM 1169: a model based approach, Biochemical Engineering Journal, vol. 40, no. 2, pp. 348-356, 2008.
G. Katre, Raskar, S., Zinjarde, S., V. Kumar, R., Kulkarni, B. D., and RaviKumar, A., Optimization of the in situ transesterification step for biodiesel production using biomass of Yarrowia lipolytica NCIM 3589 grown on waste cooking oil, Energy, vol. 142, pp. 944-952, 2018.
R. Vyas, Goel, P., Karthikeyan, M., Tambe, S. S., and Kulkarni, B. D., Pharmacokinetic modeling of caco-2 cell permeability using genetic programming (GP) method, Letters in Drug Design & Discovery, vol. 11, no. 9, pp. 1112-1118, 2014.
R. B. Khomane, Agrawal, A. C., Kulkarni, B. D., Gopukumar, S., and Sivashanmugam, A., Preparation and electrochemical characterization of lithium cobalt oxide nanoparticles by modified sol-gel method, Materials Research Bulletin, vol. 43, no. 8-9, pp. 2497-2503, 2008.
, Pathak, P. D., Mandavgane, S. A., and Kulkarni, B. D., Process of fruit peel waste biorefinery: a case study of citrus waste biorefinery, its environmental impacts and recommendations, Environmental Science and Pollution Research, pp. 1-10, 2019.
N. S. Patil, Shelokar, P. S., Jayaraman, V. K., and Kulkarni, B. D., Regression models using pattern search assisted least square support vector machines, Chemical Engineering Research and Design, vol. 83, no. 8, pp. 1030-1037, 2005.
R. B. Khomane, Sharma, B. K., Saha, S., and Kulkarni, B. D., Reverse microemulsion mediated sol-gel synthesis of lithium silicate nanoparticles under ambient conditions: Scope for CO2 sequestration, Chemical Engineering Science, vol. 61, no. 10, pp. 3415-3418, 2006.
P. S. Sonawane, Biradar, S. S., Radhakrishnan, S., and Kulkarni, B. D., Role of ionic diffusion in polymer gel mediated growth (PMG) technique for the synthesis of nanoparticulate fillers, Materials Chemistry and Physics, vol. 105, no. 2-3, pp. 348-353, 2007.
A. Kumar, Bhattacharjee, G., Kulkarni, B. D., and Kumar, R., Role of surfactants in promoting gas hydrate formation, Industrial & Engineering Chemistry Research, vol. 54, no. 49, pp. 12217-12232, 2015.
D. V. Raje, Purohit, H. J., Badhe, Y. P., Tambe, S. S., and Kulkarni, B. D., Self-organizing maps: a tool to ascertain taxonomic relatedness based on features derived from 16S rDNA sequence, Journal of Biosciences, vol. 35, no. 4, pp. 617-627, 2010.
S. R. Inamdar, Karimi, I. A., Parulekar, S. J., and Kulkarni, B. D., Sharp cut algorithm for optimization, Computers & Chemical Engineering, vol. 35, no. 12, pp. 2716-2728, 2011.
K. M. Desai, Badhe, Y. P., Tambe, S. S., and Kulkarni, B. D., Soft-sensor development for fed-batch bioreactors using support vector regression, Biochemical Engineering Journal, vol. 27, no. 3, pp. 225-239, 2006.
S. R. Inamdar, Pujari, N. S., Karimi, I. A., Ponrathnam, S., Tayal, R. K., and Kulkarni, B. D., Spinning wave motion in frontal polymerization, Chemical Engineering Science, vol. 62, no. 5, pp. 1448-1455, 2007.
V. K. Kalyani, Pallavika,, Chaudhuri, S., T. Charan, G., Haldar, D. D., Kamal, K. P., Badhe, Y. P., Tambe, S. S., and Kulkarni, B. D., Study of a laboratory-scale froth flotation process using artificial neural networks, Mineral Processing and Extractive Metallurgy Review, vol. 29, no. 2, pp. 130-142, 2008.
S. N. Joglekar, Sustainability assessment of brick work for low-cost housing: a comparison between waste based bricks and burnt clay bricks, Sustainable Cities and Society, vol. 37, pp. 396-406, 2018.
R. Kumar, Jayaraman, V. K., and Kulkarni, B. D., SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples, Pattern Recognition, vol. 38, no. 1, pp. 41-49, 2005.
A. B. Gandhi, Joshi, J. B., Kulkarni, A. A., Jayaraman, V. K., and Kulkarni, B. D., SVR-based prediction of point gas hold-up for bubble column reactor through recurrence quantification analysis of LDA time-series, International Journal of Multiphase Flow, vol. 34, no. 12, pp. 1099-1107, 2008.
R. B. Jotania, Khomane, R. B., Chauhan, C. C., Menon, S. K., and Kulkarni, B. D., Synthesis and magnetic properties of barium-calcium hexaferrite particles prepared by sol-gel and microemulsion techniques, Journal of Magnetism and Magnetic Materials, vol. 320, no. 6, pp. 1095-1101, 2008.
R. B. Joyania, Khomane, R. B., Chauhan, C. C., and Kulkarni, B. D., Temperature dependent structural studies and magnetic properties of BaCa2Fe16O27 hexaferrites prepared by stearic acid gel route in presence of SDS surfactant, Synthesis and Reactivity in Inorganic Metal-Organic and Nano-Metal Chemistry, vol. 38, no. 2, pp. 225-228, 2008.
G. R. Kale and Kulkarni, B. D., Thermoneutral design aspects of gasoline chemical looping reformer, Fuel Cells, vol. 13, no. 6, pp. 971-986, 2013.
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.
S. A. Mandavgane and Kulkarni, B. D., Valorization of cow urine and dung: A model biorefinery (2018), Waste and Biomass Valorization, vol. 11, no. 3, pp. 1-14, 2020.
P. D. Pathak, Mandavgane, S. A., and Kulkarni, B. D., Valorization of pomegranate peels: a biorefinery approach, Waste and Biomass Valorization, vol. 8, no. 4, 2017.
P. D. Pathak, Mandavgane, S. A., Puranik, N. M., Jambhulkar, S. J., and Kulkarni, B. D., Valorization of potato peel: a biorefinery approach, Critical Reviews in Biotechnology, 2017.