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Sanjeev Tambe
Sanjeev Tambe
Adjunct Professor, Institute of Chemical Technology, Mumbai; Ex-Chair, CEPD Divn., CSIR-NCL, Pune
Нет подтвержденного адреса электронной почты
Название
Процитировано
Процитировано
Год
Soft-sensor development for fed-batch bioreactors using support vector regression
K Desai, Y Badhe, SS Tambe, BD Kulkarni
Biochemical Engineering Journal 27 (3), 225-239, 2006
1952006
Estimation of gross calorific value of coals using artificial neural networks
SU Patel, BJ Kumar, YP Badhe, BK Sharma, S Saha, S Biswas, ...
Fuel 86 (3), 334-344, 2007
1652007
Elements of artificial neural networks with selected applications in chemical engineering, and chemical & biological sciences
SS Tambe, PB Deshpande, BD Kulkarni, S Ramani
Simulation & Advanced Controls, Incorporated, 1996
1381996
Hybrid process modeling and optimization strategies integrating neural networks/support vector regression and genetic algorithms: study of benzene isopropylation on Hbeta catalyst
S Nandi, Y Badhe, J Lonari, U Sridevi, BS Rao, SS Tambe, BD Kulkarni
Chemical Engineering Journal 97 (2-3), 115-129, 2004
1352004
Modeling and monitoring of batch processes using principal component analysis (PCA) assisted generalized regression neural networks (GRNN)
SG Kulkarni, AK Chaudhary, S Nandi, SS Tambe, BD Kulkarni
Biochemical Engineering Journal 18 (3), 193-210, 2004
1142004
Optimization of fermentation media for exopolysaccharide production from Lactobacillus plantarum using artificial intelligence-based techniques
KM Desai, SK Akolkar, YP Badhe, SS Tambe, SS Lele
Process Biochemistry 41 (8), 1842-1848, 2006
1112006
Prediction of higher heating value of solid biomass fuels using artificial intelligence formalisms
SB Ghugare, S Tiwary, V Elangovan, SS Tambe
Bioenergy Research 7, 681-692, 2014
1102014
Prediction of all India summer monsoon rainfall using error-back-propagation neural networks
C Venkatesan, SD Raskar, SS Tambe, BD Kulkarni, RN Keshavamurty
Meteorology and Atmospheric Physics 62, 225-240, 1997
1041997
Nonlinear pH control
BD Kulkarni, SS Tambe, NV Shukla, PB Deshpande
Chemical engineering science 46 (4), 995-1003, 1991
891991
Statistical analysis of the physico–chemical data on the coastal waters of Cochin
CSP Iyer, M Sindhu, SG Kulkarni, SS Tambe, BD Kulkarni
Journal of Environmental Monitoring 5 (2), 324-327, 2003
762003
Artificial neural‐network‐assisted stochastic process optimization strategies
S Nandi, S Ghosh, SS Tambe, BD Kulkarni
AIChE journal 47 (1), 126-141, 2001
612001
Performance of artificial neural network models in the presence of instrumental noise and measurement errors
BD Kulkarni, SS Tambe, JB Lonari, N Valecha, SV Dheshmukh, B Shenoy, ...
US Patent 7,313,550, 2007
582007
Development of data-driven models for fluidized-bed coal gasification process
PD Chavan, T Sharma, BK Mall, BD Rajurkar, SS Tambe, BK Sharma, ...
Fuel 93, 44-51, 2012
572012
Artificial neural networks for prediction of mycobacterial promoter sequences
RN Kalate, SS Tambe, BD Kulkarni
Computational biology and chemistry 27 (6), 555-564, 2003
532003
Adsorption of chromium (VI) from aqueous solutions by coffee polyphenol-formaldehyde/acetaldehyde resins
K Mulani, S Daniels, K Rajdeo, S Tambe, N Chavan
Journal of Polymers 2013, 2013
512013
Reaction modeling and optimization using neural networks and genetic algorithms: case study involving TS-1-catalyzed hydroxylation of benzene
S Nandi, P Mukherjee, SS Tambe, R Kumar, BD Kulkarni
Industrial & engineering chemistry research 41 (9), 2159-2169, 2002
512002
Soft-sensor development for biochemical systems using genetic programming
S Sharma, SS Tambe
Biochemical engineering journal 85, 89-100, 2014
482014
Genetic programming assisted stochastic optimization strategies for optimization of glucose to gluconic acid fermentation
JJS Cheema, NV Sankpal, SS Tambe, BD Kulkarni
Biotechnology progress 18 (6), 1356-1365, 2002
462002
Kinetics of hydrogenation of o-nitrophenol to o-aminophenol on Pd/carbon catalysts in a stirred three-phase slurry reactor
VR Choudhary, MG Sane, SS Tambe
Industrial & engineering chemistry research 37 (10), 3879-3887, 1998
451998
Genetic programming based high performing correlations for prediction of higher heating value of coals of different ranks and from diverse geographies
SB Ghugare, SS Tambe
Journal of the Energy Institute 90 (3), 476-484, 2017
422017
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