Optimal xylanase production using Penicilium janthinellum NCIM 1169: A model based approach
Mukesh Meshram , Abhijit Kulkarni , V.K. Jayaraman , B.D. Kulkarni
Biochemical Engineering Journal 40 ( 2) 348 -356
11
2008
Kernel-enabled methods for subspace regression and efficient control
Kaustubh Patil , Abhijit Kulkarni
International Journal of Modelling, Identification and Control 5 ( 2) 136 -145
1
2008
Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process
Abhijit Kulkarni , V.K. Jayaraman , B.D. Kulkarni
Computers & Chemical Engineering 29 ( 10) 2128 -2133
93
2005
Support vector classification with parameter tuning assisted by agent-based technique
Abhijit Kulkarni , V.K. Jayaraman , B.D. Kulkarni
Computers & Chemical Engineering 28 ( 3) 311 -318
50
2004
A partial Granger causality based method for analysis of parameter interactions in bioreactors
Ritesh Krishna , Satyadarshi Nanda , Abhijit Kulkarni , Sangameshwar Patil
Computers & Chemical Engineering 35 ( 1) 121 -126
3
2011
Fuzzy pattern extraction for classification of protein sequences
Abhijit Kulkarni , Arnold Noronha , Sasanka Roy , Savita Angadi
international symposium on open collaboration 18
2
2010
Control of chaotic dynamical systems using support vector machines
Abhijit Kulkarni , V.K. Jayaraman , B.D. Kulkarni
Physics Letters A 317 ( 5) 429 -435
28
2003
Review on lazy learning regressors and their applications in QSAR.
Abhijit Kulkarni , Valadi Jayaraman , Bhaskar Kulkarni
Combinatorial Chemistry & High Throughput Screening 12 ( 4) 440 -450
3
2009
Metaheuristics in Process Engineering: A Historical Perspective
Prakash Shelokar , Abhijit Kulkarni , Valadi K. Jayaraman , Patrick Siarry
Springer, Cham 1 -38
3
2014
Metaheuristics in Process Engineering
Prakash Shelokar , Abhijit Kulkarni , Valadi K Jayaraman , Patrick Siarry
Structure-Activity Relationships using Locally Linear Embedding Assisted by Support Vector and Lazy Learning Regressors
Rakesh Kumar , Abhijit Kulkarni , Valadi K Jayaraman , Bhaskar D Kulkarni
Internet Electron. J. Mol. Des 3 ( 3) 118 -133
11
2004
Symbolization assisted SVM classifier for noisy data
R Kumar , A Kulkarni , V.K Jayaraman , B.D Kulkarni
Pattern Recognition Letters 25 ( 4) 495 -504
10
2004
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
Springer Nature Switzerland 115 -125
2023
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 , A. J. Kulkarni , B. D. Kulkarni , V. K. Jayaraman
Bioinformatics 22 ( 3) 278 -284
87
2006
Nonlinear signal analysis to understand the dynamics of the protein sequences
S. Angadi , A. Kulkarni
European Physical Journal-special Topics 164 ( 1) 141 -155
4
2008
A Simple Visualization Technique to Understand the System Dynamics in Bioreactors
K.R. Patil , A.J. Kulkarni
Biotechnology Progress 23 ( 5) 1101 -1105
3
2007
Memory Based Local Learning: Application to Process Engineering Problems
Abhijit J. Kulkarni , Sanjay Vasant Patil , Valadi K. Jayaraman , Bhaskar D. Kulkarni
International Journal of Chemical Reactor Engineering 1 ( 1)
2003
ANALYSIS OF INTRINSICALLY DISORDERED REGIONS IN PROTEINS USING RECURRENCE QUANTIFICATION ANALYSIS
ABHIJIT KULKARNI , SHREYAS KARNIK , SAVITA ANGADI
International Journal of Bifurcation and Chaos 21 ( 04) 1193 -1202
3
2011
Studies on some new learning paradigms to process engineering
Abhijit J Kulkarni
University
2006