N. Selvakumar

Automatic Defect Classification in Ultrasonic NDT Using Artificial Intelligence

S. Sambath, P. Nagaraj, N. Selvakumar, 2011 .

Survey on Privacy Preserving Data Mining

N. Selvakumar, M.C.S Geetha, 2017 .

Simplifying the powder metallurgy manufacturing process using soft computing tools

N. Selvakumar, P. Radha, G. Chandrasekaran, 2015, Appl. Soft Comput..

Enhancing Internet of Battle Things using Ultrasonic assisted Non-Destructive Testing (Technical solution)

N. Selvakumar, P. Radha, J. Raja Sekar, 2018, 2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC).

Generalized Neural Network Model to Predict the Properties of Sintered Al - Fe Composite

N. Selvakumar, P. Radha, G. Chandrasekaran, 2007, International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007).

A neural network (NN) and response surface methodology (RSM) based prediction model for sintered aluminium performs

N. Selvakumar, M. Joseph Davidson, N. Selvakumar, 2012 .

Automatic detection of defects in ultrasonic testing using artificial neural network

Tom Page, S. Sambath, P. Nagaraj, 2010 .

Role of Knowledge Mining - A Density based Spatial Clustering of Application

N. Selvakumar, J. Raja Sekar, P. Radha, 2020, 2020 International Conference on Inventive Computation Technologies (ICICT).

Deep learning-based supervised and unsupervised neural networks for analysing the characteristics of powder composite preforms

N. Selvakumar, Radha Pavanasam, G Chandrasekaran, 2020, International Journal of Modelling and Simulation.