Issues in learning cause and effect relationships from examples : with particular emphasis on casting processes. - Meghana R. Ransing (2003)

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)

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)

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)

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)