Characterization, pore size measurement and wear model of a sintered Cu–W nano composite using radial basis functional neural network N Leema, P Radha, SC Vettivel, HK Nehemiah Materials & Design 68, 195-206, 2015 | 33 | 2015 |
Modelling the effect of particle size and iron content on forming of Al–Fe composite preforms using neural network N Selvakumar, P Ganesan, P Radha, R Narayanasamy, KS Pandey Materials & design 28 (1), 119-130, 2007 | 28 | 2007 |
Prediction of deformation characteristics of sintered aluminium preforms using neural networks N Selvakumar, P Radha, R Narayanasamy, MJ Davidson Modelling and Simulation in Materials Science and Engineering 12 (4), 611, 2004 | 27 | 2004 |
Simplifying the powder metallurgy manufacturing process using soft computing tools P Radha, G Chandrasekaran, N Selvakumar Applied Soft Computing 27, 191-204, 2015 | 20 | 2015 |
Neural network model for predicting strain hardening and densification constants of sintered aluminium preforms N Selvakumar, P Radha, R Narayanasamy, P Ganesan Powder metallurgy 47 (3), 261-266, 2004 | 7 | 2004 |
Computational Intelligence for analysing the mechanical properties of AA 2219 - B4C + h-BN hybrid nano composites processed by ultrasound assisted casting P Radha, N Selvakumar, R Harichandran Archives of Metallurgy and Materials 64 (3), 116, 2019 | 5 | 2019 |
Generalized Neural Network model to predict the properties of sintered Al-Fe composite P Radha, G Chandrasekaran, N Selvakumar International Conference on Computational Intelligence and Multimedia …, 2007 | 5 | 2007 |
A Novel Ultrasonic based NDT for smart analysis of material defects using IoT P Radha International Conference on Inventive Computation Technologies, 156-161, 2021 | 3 | 2021 |
A Novel PWA Architecture for Assisting Homeopathy Diagnosis PR R. Ragulkumar International Journal of Health Sciences 6 (1), 4480, 2022 | 2 | 2022 |
Neural Networks for Predicting the Wear Properties of Sintered Ti-6Al-4V Composite Reinforced with Nano B4C Particle and Classification using Data Mining Tools P Radha, N Selvakumar International Journal of computational and Neural Engineering 3 (04), 40-48, 2016 | 2 | 2016 |
Evaluating the predictability of supervised neural network by different variation of Back propagation algorithm in processing powder metallurgy data P Radha, G Chandrasekaran, N Selvakumar International journal of computer Engineering and Information technology 3 …, 2009 | 2 | 2009 |
Simulation of Powder metallurgical preforms using Neural Networks P Radha, G Chandrasekaran, N Selvakumar Advanced Computing and Commuication ICACC'07 1 (1), 2007 | 2 | 2007 |
Supervised and unsupervised learning for characterising the industrial material defects P Radha, N Selvakumar, JR Sekar, JV Johnsonselva International Journal of Business Intelligence and Data Mining 21 (2), 233-246, 2022 | 1 | 2022 |
Correlating Health-Oriented Human Traditions with Basic Science and Automating Health-Related Processes Using Modern Science P Radha Human Arenas 1 (1), 1-20, 2019 | 1 | 2019 |
Balancing the Complexity of Architecture and Generalization of Soft-Computing Model in Predicting the Properties of Composite Preforms P Radha International Journal of Computer Science Trends and Technology, V 5 (3), 89-101, 2017 | 1 | 2017 |
Region growth based segmentation to improve the porosity of Cu-(5–20%) W composite preforms P Radha Global Res Dev J Eng 1 (12), 148-155, 2016 | 1 | 2016 |
ENT Pattern Recognition Using Augmented Bounding Boxes P Radha, V Neethidevan, S Kruthika International Conference on Expert Clouds and Applications, 511-522, 2022 | | 2022 |
Density-Based Dynamically Self-Parameterized Clustering for Material Inspection P RADHA The Computer Journal, 1-13, 2021 | | 2021 |
Technical procedure for cloud based non-destructive testing using ultrasonic echo pulse method MJVJ Dr.Devendra Jha, Dr.P.Radha, Dr.N.Selvakumar, Dr.J.Raja Sekar Copy right, 2021 | | 2021 |
Supervised and Unsupervised learning for characterizing the industrial material defects MJVJ Dr.P.Radha, Dr.N.Selvakumar, Dr.J.Raja Sekar International of Business Intelligence and Data Minining 1 (1), 1-15, 2021 | | 2021 |