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Rajesh S. Ransing
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2020 – today
- 2023
- [j8]Raed S. Batbooti, Rajesh S. Ransing:
A novel imputation based predictive algorithm for reducing common cause variation from small and mixed datasets with missing values. Comput. Ind. Eng. 179: 109230 (2023)
2010 – 2019
- 2017
- [j7]Raed S. Batbooti, Rajesh S. Ransing, Meghana R. Ransing:
A bootstrap method for uncertainty estimation in quality correlation algorithm for risk based tolerance synthesis. Comput. Ind. Eng. 112: 654-662 (2017) - 2016
- [j6]Rajesh S. Ransing, Raed S. Batbooti, Cinzia Giannetti, Meghana R. Ransing:
A quality correlation algorithm for tolerance synthesis in manufacturing operations. Comput. Ind. Eng. 93: 1-11 (2016) - [j5]Cinzia Giannetti, Rajesh S. Ransing:
Risk based uncertainty quantification to improve robustness of manufacturing operations. Comput. Ind. Eng. 101: 70-80 (2016) - 2015
- [j4]Cinzia Giannetti, Meghana R. Ransing, Rajesh S. Ransing, David C. Bould, David T. Gethin, Johann Sienz:
Organisational Knowledge Management for Defect Reduction and Sustainable Development in Foundries. Int. J. Knowl. Syst. Sci. 6(3): 18-37 (2015) - [c5]Raed S. Batbooti, Rajesh S. Ransing:
Data Mining and Knowledge Discovery Approach for Manufacturing in Process Data Optimization. SGAI Conf. 2015: 203-208 - 2014
- [j3]Cinzia Giannetti, Rajesh S. Ransing, Meghana R. Ransing, David C. Bould, David T. Gethin, Johann Sienz:
A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data. Comput. Ind. Eng. 72: 217-229 (2014) - 2013
- [j2]Rajesh S. Ransing, Cinzia Giannetti, Meghana R. Ransing, M. W. James:
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. 64(5): 514-523 (2013) - 2010
- [c4]Nazri Mohd Nawi, Rajesh S. Ransing, Mohd Najib B. Mohd Salleh, Rozaida Ghazali, Norhamreeza Abdul Hamid:
An Improved Back Propagation Neural Network Algorithm on Classification Problems. FGIT-DTA/BSBT 2010: 177-188
2000 – 2009
- 2008
- [c3]Nazri Mohd Nawi, Rajesh S. Ransing, Meghana R. Ransing:
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 2008: 546-552 - 2006
- [c2]Nazri Mohd Nawi, Meghana R. Ransing, Rajesh S. Ransing:
An Improved Learning Algorithm Based on The Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method For Back Propagation Neural Networks. ISDA (1) 2006: 152-157 - [c1]Nazri Mohd Nawi, Meghana R. Ransing, Rajesh S. Ransing:
Improving the Gradient Based Search Direction to Enhance Training Efficiency of Back Propagation Based Neural Network Algorithms. SGAI Conf. 2006: 45-58
1990 – 1999
- 1995
- [j1]Rajesh S. Ransing, M. N. Srinivasan, R. W. Lewis:
ICADA: Intelligent computer aided defect analysis for castings. J. Intell. Manuf. 6(1): 29-40 (1995)
Coauthor Index
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