화학공학소재연구정보센터
검색결과 : 27건
No. Article
1 Effect of precursor type and doping concentration on the physical properties of ultrasonically sprayed aluminium and indium co-doped zinc oxide thin films
Jayaraman VK, Alvarez AM, Bizarro M, Koudriavtsev Y, Amador MDO
Thin Solid Films, 642, 14, 2017
2 Development of Unified Correlations for Volumetric Mass-Transfer Coefficient and Effective Interfacial Area in Bubble Column Reactors for Various Gas-Liquid Systems Using Support Vector Regression
Gandhi AB, Gupta PP, Joshi JB, Jayaraman VK, Kulkarni BD
Industrial & Engineering Chemistry Research, 48(9), 4216, 2009
3 Festschrift in Honor of Dr. B. D. Kulkarni
Yadav GD, Jayaraman VK, Ravikumar V
Industrial & Engineering Chemistry Research, 48(21), 9355, 2009
4 Development of Correlations for Overall Gas Hold-up, Volumetric Mass Transfer Coefficient, and Effective Interfacial Area in Bubble Column Reactors Using Hybrid Genetic Algorithm-Support Vector Regression Technique: Viscous Newtonian and Non-Newtonian Liquids
Gupta PP, Merchant SS, Bhat AU, Gandhi AB, Bhagwat SS, Joshi JB, Jayaraman VK, Kulkarni BD
Industrial & Engineering Chemistry Research, 48(21), 9631, 2009
5 Quantitative Structure-Property Relationship (QSPR) Prediction of Liquid Viscosities of Pure Organic Compounds Employing Random Forest Regression
Rajappan R, Shingade PD, Natarajan R, Jayaraman VK
Industrial & Engineering Chemistry Research, 48(21), 9708, 2009
6 SVR-based prediction of point gas hold-up for bubble column reactor through recurrence quantification analysis of LDA time-series
Gandhi AB, Joshi JB, Kulkarni AA, Jayaraman VK, Kulkarni BD
International Journal of Multiphase Flow, 34(12), 1099, 2008
7 Data-driven dynamic modeling and control of a surface aeration system
Gandhi AB, Joshi JB, Jayaraman VK, Kulkarni BD
Industrial & Engineering Chemistry Research, 46(25), 8607, 2007
8 A novel local singularity distribution based method for flow regime identification: Gas-liquid stirred vessel with Rushton turbine
Jade AM, Jayaraman VK, Kulkarni BD, Khopkar AR, Ranade VV, Sharma A
Chemical Engineering Science, 61(2), 688, 2006
9 Regression models using pattern search assisted least square support vector machines
Patil NS, Shelokar PS, Jayaraman VK, Kulkarni BD
Chemical Engineering Research & Design, 83(A8), 1030, 2005
10 Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process
Kulkarni A, Jayaraman VK, Kulkarni BD
Computers & Chemical Engineering, 29(10), 2128, 2005