Pravin Chandra

Orcid: 0000-0002-6555-3832

According to our database1, Pravin Chandra authored at least 36 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An empirical analysis of software fault proneness using factor analysis with regression.
Multim. Tools Appl., May, 2024

2022
Effects of similarity/distance metrics on k-means algorithm with respect to its applications in IoT and multimedia: a review.
Multim. Tools Appl., 2022

2021
Weight and bias initialization routines for Sigmoidal Feedforward Network.
Appl. Intell., 2021

2020
Threshold sensitive clustering in SEP.
Sustain. Comput. Informatics Syst., 2020

2019
Identification of latent variables using, factor analysis and multiple linear regression for software fault prediction.
Int. J. Syst. Assur. Eng. Manag., 2019

2018
A Note on Optimum Cluster Estimation in LEACH Protocol.
IEEE Access, 2018

2017
Fuzzy inferencing to identify degree of interaction in the development of fault prediction models.
J. King Saud Univ. Comput. Inf. Sci., 2017

Bi-modal derivative adaptive activation function sigmoidal feedforward artificial neural networks.
Appl. Soft Comput., 2017

2016
A Robust Fingerprint Matching System Using Orientation Features.
J. Inf. Process. Syst., 2016

Sentiment Predictions Using Deep Belief Networks Model for Odd-Even Policy in Delhi.
Int. J. Synth. Emot., 2016

Soft Computing Based Software Testing - A Concise Travelogue.
Proceedings of Sixth International Conference on Soft Computing for Problem Solving, 2016

Applicability of Soft Computing and Optimization Algorithms in Software Testing and Metrics - A Brief Review.
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016

2015
Review and extension of fault class hierarchy for testing Boolean specification.
Int. J. Comput. Appl. Technol., 2015

A non-sigmoidal activation function for feedforward artificial neural networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A statistically resilient method of weight initialization for SFANN.
Proceedings of the 2015 International Conference on Advances in Computing, 2015

2014
Why interaction between metrics should be considered in the development of software quality models: a preliminary study.
ACM SIGSOFT Softw. Eng. Notes, 2014

Bi-modal derivative activation function for sigmoidal feedforward networks.
Neurocomputing, 2014

An empirical evaluation of rotation invariance of LDP feature for fingerprint matching using neural networks.
Int. J. Comput. Vis. Robotics, 2014

Rotational invariant fingerprint matching using local directional descriptors.
Int. J. Comput. Intell. Stud., 2014

A new weight initialization method for sigmoidal feedforward artificial neural networks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Fingerprint Matching Using Rotational Invariant Image Based Descriptor and Machine Learning Techniques.
Proceedings of the 6th International Conference on Emerging Trends in Engineering and Technology, 2013

Metrics for Weight Stuck-at-Zero Fault in Sigmoidal FFANNs.
Proceedings of the Seventh UKSim/AMSS European Modelling Symposium, 2013

2012
Training neural network with zero weight initialization.
Proceedings of the CUBE International IT Conference & Exhibition, 2012

2011
An Adaptive Sigmoidal Activation Function Cascading Neural Networks.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011

2010
An Adaptive Slope Sigmoidal Function Cascading Neural Networks Algorithm.
Proceedings of the 3rd International Conference on Emerging Trends in Engineering and Technology, 2010

Metrics for measurement of additive noise to weight in sigmoidal FFANNs.
Proceedings of the 11th International Conference on Control, 2010

Sensitivity Measurement of Neural Hardware: A Simulation Based Study.
Proceedings of the Contemporary Computing - Third International Conference, 2010

2006
An evaluation of Boolean expression testing techniques.
ACM SIGSOFT Softw. Eng. Notes, 2006

2005
An expert committee model to estimate lines of code.
ACM SIGSOFT Softw. Eng. Notes, 2005

Sensitivity analysis of fuzzy and neural network models.
ACM SIGSOFT Softw. Eng. Notes, 2005

Evaluation of various training algorithms in a neural network model for software engineering applications.
ACM SIGSOFT Softw. Eng. Notes, 2005

2004
Feedforward sigmoidal networks - equicontinuity and fault-tolerance properties.
IEEE Trans. Neural Networks, 2004

A case for the self-adaptation of activation functions in FFANNs.
Neurocomputing, 2004

An activation function adapting training algorithm for sigmoidal feedforward networks.
Neurocomputing, 2004

A model for corrective maintenance time prediction using neural network.
Proceedings of the IASTED Conference on Software Engineering and Applications, 2004

2003
Sigmoidal Function Classes for Feedforward Artificial Neural Networks.
Neural Process. Lett., 2003


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