Rajesh S. Ransing

13 papers Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
A novel imputation based predictive algorithm for reducing common cause variation from small and mixed datasets with missing values.
Comput. Ind. Eng.
Raed S. Batbooti, Rajesh S. Ransing
2017 J jnl
A bootstrap method for uncertainty estimation in quality correlation algorithm for risk based tolerance synthesis.
Comput. Ind. Eng.
Raed S. Batbooti, Rajesh S. Ransing, Meghana R. Ransing
2016 J jnl
A quality correlation algorithm for tolerance synthesis in manufacturing operations.
Comput. Ind. Eng.
Rajesh S. Ransing, Raed S. Batbooti, Cinzia Giannetti, Meghana R. Ransing
2016 J jnl
Risk based uncertainty quantification to improve robustness of manufacturing operations.
Comput. Ind. Eng.
Cinzia Giannetti, Rajesh S. Ransing
2015 — conf
Data Mining and Knowledge Discovery Approach for Manufacturing in Process Data Optimization.
SGAI Conf.
Raed S. Batbooti, Rajesh S. Ransing
2015 J jnl
Organisational Knowledge Management for Defect Reduction and Sustainable Development in Foundries.
Int. J. Knowl. Syst. Sci.
Cinzia Giannetti, Meghana R. Ransing, Rajesh S. Ransing, David C. Bould, David T. Gethin, Johann Sienz
2014 J jnl
A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data.
Comput. Ind. Eng.
Cinzia Giannetti, Rajesh S. Ransing, Meghana R. Ransing, David C. Bould, David T. Gethin, Johann Sienz
2013 J jnl
A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects.
Comput. Ind.
Rajesh S. Ransing, Cinzia Giannetti, Meghana R. Ransing, M. W. James
2010 — conf
An Improved Back Propagation Neural Network Algorithm on Classification Problems.
FGIT-DTA/BSBT
Nazri Mohd Nawi, Rajesh S. Ransing, Mohd Najib B. Mohd Salleh, Rozaida Ghazali, Norhamreeza Abdul Hamid
2008 — conf
A New Method to Improve the Gradient Based Search Direction to Enhance the Computational Efficiency of Back Propagation Based Neural Network Algorithms.
Asia International Conference on Modelling and Simulation
Nazri Mohd Nawi, Rajesh S. Ransing, Meghana R. Ransing
2006 — conf
An Improved Learning Algorithm Based on The Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method For Back Propagation Neural Networks.
ISDA (1)
Nazri Mohd Nawi, Meghana R. Ransing, Rajesh S. Ransing
2006 — conf
Improving the Gradient Based Search Direction to Enhance Training Efficiency of Back Propagation Based Neural Network Algorithms.
SGAI Conf.
Nazri Mohd Nawi, Meghana R. Ransing, Rajesh S. Ransing
1995 J jnl
ICADA: Intelligent computer aided defect analysis for castings.
J. Intell. Manuf.
Rajesh S. Ransing, M. N. Srinivasan, R. W. Lewis