Fault tolerance of feedforward artificial neural networks- a framework of study. - Pravin Chandra; Yogesh Singh (IJCNN, 2003)

Regularization and Feedforward artificial neural network training with noise. - Pravin Chandra; Yogesh Singh (IJCNN, 2003)

Sigmoidal Function Classes for Feedforward Artificial Neural Networks. - Pravin Chandra (Neural Process. Lett., 2003)

A model for corrective maintenance time prediction using neural network. - Yogesh Singh; Bindu Goel; Pravin Chandra (IASTED Conf. on Software Engineering and Applications, 2004)

An activation function adapting training algorithm for sigmoidal feedforward networks. - Pravin Chandra; Yogesh Singh (Neurocomputing, 2004)

A case for the self-adaptation of activation functions in FFANNs. - Pravin Chandra; Yogesh Singh (Neurocomputing, 2004)

Feedforward sigmoidal networks - equicontinuity and fault-tolerance properties. - Pravin Chandra; Yogesh Singh (IEEE Trans. Neural Networks, 2004)

Evaluation of various training algorithms in a neural network model for software engineering applications. - K. K. Aggarwal 001; Yogesh Singh; Pravin Chandra; Manimala Puri (ACM SIGSOFT Softw. Eng. Notes, 2005)

Sensitivity analysis of fuzzy and neural network models. - K. K. Aggarwal 001; Yogesh Singh; Pravin Chandra; Manimala Puri (ACM SIGSOFT Softw. Eng. Notes, 2005)

An expert committee model to estimate lines of code. - K. K. Aggarwal 001; Yogesh Singh; Pravin Chandra; Manimala Puri (ACM SIGSOFT Softw. Eng. Notes, 2005)

An evaluation of Boolean expression testing techniques. - R. K. Singh; Pravin Chandra; Yogesh Singh (ACM SIGSOFT Softw. Eng. Notes, 2006)

Sensitivity Measurement of Neural Hardware: A Simulation Based Study. - Amit Prakash Singh; Pravin Chandra; Chandra Shekhar Rai (IC3 (2), 2010)

Metrics for measurement of additive noise to weight in sigmoidal FFANNs. - Amit Prakash Singh; Chandra Shekhar Rai; Pravin Chandra (ICARCV, 2010)

An Adaptive Slope Sigmoidal Function Cascading Neural Networks Algorithm. - Sudhir Kumar Sharma; Pravin Chandra (ICETET, 2010)

An Adaptive Sigmoidal Activation Function Cascading Neural Networks. - Sudhir Kumar Sharma; Pravin Chandra (SOCO, 2011)

Training neural network with zero weight initialization. - Sarfaraz Masood; Pravin Chandra (CUBE, 2012)

Metrics for Weight Stuck-at-Zero Fault in Sigmoidal FFANNs. - Amit Prakash Singh; Sartaj Singh Sodhi; Pravin Chandra; Chandra Shekhar Rai (EMS, 2013)

Fingerprint Matching Using Rotational Invariant Image Based Descriptor and Machine Learning Techniques. - Ravinder Kumar; Pravin Chandra; Madasu Hanmandlu (ICETET, 2013)

A new weight initialization method for sigmoidal feedforward artificial neural networks. - Sartaj Singh Sodhi; Pravin Chandra; Sharad Tanwar (IJCNN, 2014)

Rotational invariant fingerprint matching using local directional descriptors. - Ravinder Kumar; Pravin Chandra; Madasu Hanmandlu (Int. J. Comput. Intell. Stud., 2014)

An empirical evaluation of rotation invariance of LDP feature for fingerprint matching using neural networks. - Ravinder Kumar; Madasu Hanmandlu; Pravin Chandra (Int. J. Comput. Vis. Robotics, 2014)

Bi-modal derivative activation function for sigmoidal feedforward networks. - Sartaj Singh Sodhi; Pravin Chandra (Neurocomputing, 2014)

Why interaction between metrics should be considered in the development of software quality models: a preliminary study. - Rinkaj Goyal; Pravin Chandra; Yogesh Singh (ACM SIGSOFT Softw. Eng. Notes, 2014)

A statistically resilient method of weight initialization for SFANN. - Apeksha Mittal; Pravin Chandra; Amit Prakash Singh (ICACCI, 2015)

A non-sigmoidal activation function for feedforward artificial neural networks. - Pravin Chandra; Udayan Ghose; Apoorvi Sood (IJCNN, 2015)

Review and extension of fault class hierarchy for testing Boolean specification. - Pravin Chandra; R. K. Singh; Yogesh Singh (Int. J. Comput. Appl. Technol., 2015)

Applicability of Soft Computing and Optimization Algorithms in Software Testing and Metrics - A Brief Review. - Deepak Sharma 003; Pravin Chandra (SoCPaR, 2016)

Soft Computing Based Software Testing - A Concise Travelogue. - Deepak Sharma 003; Pravin Chandra (SocProS (2), 2016)

Sentiment Predictions Using Deep Belief Networks Model for Odd-Even Policy in Delhi. - Sudhir Kumar Sharma; Ximi Hoque; Pravin Chandra (Int. J. Synth. Emot., 2016)

A Robust Fingerprint Matching System Using Orientation Features. - Ravinder Kumar; Pravin Chandra; Madasu Hanmandlu (J. Inf. Process. Syst., 2016)

Bi-modal derivative adaptive activation function sigmoidal feedforward artificial neural networks. - Akash Mishra; Pravin Chandra; Udayan Ghose; Sartaj Singh Sodhi (Appl. Soft Comput., 2017)

Fuzzy inferencing to identify degree of interaction in the development of fault prediction models. - Rinkaj Goyal; Pravin Chandra; Yogesh Singh (J. King Saud Univ. Comput. Inf. Sci., 2017)

A Note on Optimum Cluster Estimation in LEACH Protocol. - Nihar Ranjan Roy; Pravin Chandra (IEEE Access, 2018)

Identification of latent variables using, factor analysis and multiple linear regression for software fault prediction. - Deepak Sharma 003; Pravin Chandra (Int. J. Syst. Assur. Eng. Manag., 2019)

Threshold sensitive clustering in SEP. - Nihar Ranjan Roy; Pravin Chandra (Sustain. Comput. Informatics Syst., 2020)

Weight and bias initialization routines for Sigmoidal Feedforward Network. - Apeksha Mittal; Amit Prakash Singh; Pravin Chandra (Appl. Intell., 2021)

Effects of similarity/distance metrics on k-means algorithm with respect to its applications in IoT and multimedia: a review. - Manoj Kumar Gupta; Pravin Chandra (Multim. Tools Appl., 2022)

An empirical analysis of software fault proneness using factor analysis with regression. - Deepak Sharma 003; Pravin Chandra (Multim. Tools Appl., 2024)