Sanjeev Tambe

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	Wszystkie	Od 2020
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Yogesh BadheSr. Tech Specialist, PSLZweryfikowany adres z persistent.com
Somnath NandiAssociate Professor, Department of Technology, Savitribai Phule Pune UniversityZweryfikowany adres z unipune.ac.in
Dr. Veena Patil-ShindeBharati Vidyapeeth (Deemed to be University) PuneZweryfikowany adres z bvucoep.edu.in
Dr. Sanket BapatCSIR-National Chemical LaboratoryZweryfikowany adres z mituniversity.edu.in
Vamsi K YadavalliVirginia Commonwealth UniversityZweryfikowany adres z vcu.edu
Amit ChaudharyThe Dow Chemical CompanyZweryfikowany adres z dow.com
Esha JainRepare Therapuetics, Broad InstituteZweryfikowany adres z reparerx.com
S S LeleInstitute of Chemical Technology, MumbaiZweryfikowany adres z ictmumbai.edu.in
Muthukumarasamy KarthikeyanChief Scientist, Molecular Informatics, National Chem. Lab, ( CSIR ) Pune, IndiaZweryfikowany adres z ncl.res.in
T Murlidharan NairProfessor Indiana University South BendZweryfikowany adres z iusb.edu
Yogesh PanditGenentechZweryfikowany adres z gene.com
Dr.Jyoti JogRetired Chief Scientist, NATIONAL CHEMICAL LABORATORYZweryfikowany adres z ncl.res.in
Rajendra KalgaonkarSaudi AramcoZweryfikowany adres z aramco.com
Ulhas KharulScientist, CSIR-National Chemical LaboratoryZweryfikowany adres z ncl.res.in
Prasad KaradkarSaudi AramcoZweryfikowany adres z aramco.com
Hemant PurohitHiMedia Microbiome Research Center (Former Head, Enviro. Biotech.& Genomics Div, CSIR-NEERI, India)Zweryfikowany adres z himedialabs.com
Dr. Dhananjay RajeHead, Data Analysis Group, MDS Bio-AnalyticsZweryfikowany adres z mdsbio.in
James CawseCawse and Effect LLCZweryfikowany adres z cawseandeffect.com
Ravindra GhorpadePostdoctoral ResearcherZweryfikowany adres z sejong.ac.kr
Krishna ShrinivasAssistant Professor, Northwestern UniversityZweryfikowany adres z northwestern.edu

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Sanjeev Tambe

Adjunct Professor, Institute of Chemical Technology, Mumbai; Ex-Chair, CEPD Divn., CSIR-NCL, Pune

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Artificial intelligence Chemical Engineering Modeling and Optimization


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	206	2006
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	174	2007
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	146	2004
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	133	1996
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	120	2004
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	117	2014
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	114	2006
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	104	1997
Nonlinear pH control BD Kulkarni, SS Tambe, NV Shukla, PB Deshpande Chemical engineering science 46 (4), 995-1003, 1991	91	1991
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	76	2003
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	68	2007
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	62	2012
Artificial neural‐network‐assisted stochastic process optimization strategies S Nandi, S Ghosh, SS Tambe, BD Kulkarni AIChE journal 47 (1), 126-141, 2001	61	2001
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 (1), 798368, 2013	57	2013
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	53	2002
Artificial neural networks for prediction of mycobacterial promoter sequences RN Kalate, SS Tambe, BD Kulkarni Computational biology and chemistry 27 (6), 555-564, 2003	52	2003
Soft-sensor development for biochemical systems using genetic programming S Sharma, SS Tambe Biochemical engineering journal 85, 89-100, 2014	50	2014
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	49	2002
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	47	1998
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	43	2017

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