ICADA: Intelligent computer aided defect analysis for castings. - Rajesh S. Ransing; M. N. Srinivasan; R. W. Lewis (J. Intell. Manuf., 1995)

An Improved Learning Algorithm Based on The Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method For Back Propagation Neural Networks. - Nazri Mohd Nawi; Meghana R. Ransing; Rajesh S. Ransing (ISDA (1), 2006)

Improving the Gradient Based Search Direction to Enhance Training Efficiency of Back Propagation Based Neural Network Algorithms. - Nazri Mohd Nawi; Meghana R. Ransing; Rajesh S. Ransing (SGAI Conf., 2006)

A New Method to Improve the Gradient Based Search Direction to Enhance the Computational Efficiency of Back Propagation Based Neural Network Algorithms. - Nazri Mohd Nawi; Rajesh S. Ransing; Meghana R. Ransing (Asia International Conference on Modelling and Simulation, 2008)

An Improved Back Propagation Neural Network Algorithm on Classification Problems. - Nazri Mohd Nawi; Rajesh S. Ransing; Mohd Najib B. Mohd Salleh; Rozaida Ghazali; Norhamreeza Abdul Hamid (FGIT-DTA/BSBT, 2010)

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. - Rajesh S. Ransing; Cinzia Giannetti; Meghana R. Ransing; M. W. James (Comput. Ind., 2013)

A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data. - Cinzia Giannetti; Rajesh S. Ransing; Meghana R. Ransing; David C. Bould; David T. Gethin; Johann Sienz (Comput. Ind. Eng., 2014)

Data Mining and Knowledge Discovery Approach for Manufacturing in Process Data Optimization. - Raed S. Batbooti; Rajesh S. Ransing (SGAI Conf., 2015)

Organisational Knowledge Management for Defect Reduction and Sustainable Development in Foundries. - Cinzia Giannetti; Meghana R. Ransing; Rajesh S. Ransing; David C. Bould; David T. Gethin; Johann Sienz (Int. J. Knowl. Syst. Sci., 2015)

Risk based uncertainty quantification to improve robustness of manufacturing operations. - Cinzia Giannetti; Rajesh S. Ransing (Comput. Ind. Eng., 2016)

A quality correlation algorithm for tolerance synthesis in manufacturing operations. - Rajesh S. Ransing; Raed S. Batbooti; Cinzia Giannetti; Meghana R. Ransing (Comput. Ind. Eng., 2016)

A bootstrap method for uncertainty estimation in quality correlation algorithm for risk based tolerance synthesis. - Raed S. Batbooti; Rajesh S. Ransing; Meghana R. Ransing (Comput. Ind. Eng., 2017)

A novel imputation based predictive algorithm for reducing common cause variation from small and mixed datasets with missing values. - Raed S. Batbooti; Rajesh S. Ransing (Comput. Ind. Eng., 2023)