abhijit kulkarni
abhijit kulkarni
Pune University, India
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Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process
A Kulkarni, VK Jayaraman, BD Kulkarni
Computers & chemical engineering 29 (10), 2128-2133, 2005
A support vector machine-based method for predicting the propensity of a protein to be soluble or to form inclusion body on overexpression in Escherichia coli
S Idicula-Thomas, AJ Kulkarni, BD Kulkarni, VK Jayaraman, PV Balaji
Bioinformatics 22 (3), 278-284, 2006
Support vector classification with parameter tuning assisted by agent-based technique
A Kulkarni, VK Jayaraman, BD Kulkarni
Computers & chemical engineering 28 (3), 311-318, 2004
Control of chaotic dynamical systems using support vector machines
A Kulkarni, VK Jayaraman, BD Kulkarni
Physics Letters A 317 (5-6), 429-435, 2003
Optimal xylanase production using Penicilium janthinellum NCIM 1169: A model based approach
M Meshram, A Kulkarni, VK Jayaraman, BD Kulkarni, SS Lele
Biochemical engineering journal 40 (2), 348-356, 2008
Symbolization assisted SVM classifier for noisy data
R Kumar, A Kulkarni, VK Jayaraman, BD Kulkarni
Pattern Recognition Letters 25 (4), 495-504, 2004
Metaheuristics in process engineering: A historical perspective
P Shelokar, A Kulkarni, VK Jayaraman, P Siarry
Applications of Metaheuristics in Process Engineering, 1-38, 2014
Structure-Activity Relationships using Locally Linear Embedding Assisted by Support Vector and Lazy Learning Regressors
R Kumar, A Kulkarni, VK Jayaraman, BD Kulkarni
Internet Electron. J. Mol. Des 3 (3), 118-133, 2004
A partial Granger causality based method for analysis of parameter interactions in bioreactors
R Krishna, S Nanda, A Kulkarni, S Patil
Computers & chemical engineering 35 (1), 121-126, 2011
Review on lazy learning regressors and their applications in QSAR
AJ Kulkarni, VK Jayaraman, BD Kulkarni
Combinatorial Chemistry & High Throughput Screening 12 (4), 440-450, 2009
Nonlinear signal analysis to understand the dynamics of the protein sequences
S Angadi, A Kulkarni
The European Physical Journal-Special Topics 164 (1), 141-155, 2008
A simple visualization technique to understand the system dynamics in bioreactors
KR Patil, AJ Kulkarni
Biotechnology progress 23 (5), 1101-1105, 2007
Memory Based Local Learning: Application to Process Engineering Problems
AJ Kulkarni, SV Patil, VK Jayaraman, BD Kulkarni
International Journal of Chemical Reactor Engineering 1 (1), 2003
Analysis of intrinsically disordered regions in proteins using recurrence quantification analysis
A Kulkarni, S Karnik, S Angadi
International Journal of Bifurcation and Chaos 21 (04), 1193-1202, 2011
Fuzzy pattern extraction for classification of protein sequences
A Kulkarni, A Noronha, S Roy, S Angadi
Proceedings of the International Symposium on Biocomputing, 1-4, 2010
Kernel-enabled methods for subspace regression and efficient control
K Patil, A Kulkarni
International Journal of Modelling, Identification and Control 5 (2), 136-145, 2008
Investigating Alternative Rotor Materials to Increase Displacement and Efficiency of Screw Compressor While Considering Cost and Manufacturability
A Kumar, K Patil, A Kulkarni, S Patil
International Conference on Compressors and their Systems, 115-125, 2023
Studies on some new learning paradigms to process engineering
AJ Kulkarni
Pune, 2006
Metaheuristics in Process Engineering
P Shelokar, A Kulkarni, VK Jayaraman, P Siarry
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