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Pravin Chandra
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2020 – today
- 2024
- [j23]Deepak Sharma
, Pravin Chandra:
An empirical analysis of software fault proneness using factor analysis with regression. Multim. Tools Appl. 83(17): 52535-52591 (2024) - 2022
- [j22]Manoj Kumar Gupta
Effects of similarity/distance metrics on k-means algorithm with respect to its applications in IoT and multimedia: a review. Multim. Tools Appl. 81(26): 37007-37032 (2022) - 2021
- [j21]Apeksha Mittal, Amit Prakash Singh, Pravin Chandra
Weight and bias initialization routines for Sigmoidal Feedforward Network. Appl. Intell. 51(4): 2651-2671 (2021) - 2020
- [j20]Nihar Ranjan Roy, Pravin Chandra
Threshold sensitive clustering in SEP. Sustain. Comput. Informatics Syst. 25: 100367 (2020)
2010 – 2019
- 2019
- [j19]Deepak Sharma
Identification of latent variables using, factor analysis and multiple linear regression for software fault prediction. Int. J. Syst. Assur. Eng. Manag. 10(6): 1453-1473 (2019) - 2018
- [j18]Nihar Ranjan Roy
A Note on Optimum Cluster Estimation in LEACH Protocol. IEEE Access 6: 65690-65696 (2018) - 2017
- [j17]Akash Mishra, Pravin Chandra
Bi-modal derivative adaptive activation function sigmoidal feedforward artificial neural networks. Appl. Soft Comput. 61: 983-994 (2017) - [j16]Rinkaj Goyal, Pravin Chandra
Fuzzy inferencing to identify degree of interaction in the development of fault prediction models. J. King Saud Univ. Comput. Inf. Sci. 29(1): 93-102 (2017) - 2016
- [j15]Sudhir Kumar Sharma, Ximi Hoque, Pravin Chandra:
Sentiment Predictions Using Deep Belief Networks Model for Odd-Even Policy in Delhi. Int. J. Synth. Emot. 7(2): 1-22 (2016) - [j14]Ravinder Kumar, Pravin Chandra
A Robust Fingerprint Matching System Using Orientation Features. J. Inf. Process. Syst. 12(1): 83-99 (2016) - [c13]Deepak Sharma
Applicability of Soft Computing and Optimization Algorithms in Software Testing and Metrics - A Brief Review. SoCPaR 2016: 535-546 - [c12]Deepak Sharma
Soft Computing Based Software Testing - A Concise Travelogue. SocProS (2) 2016: 220-228 - 2015
- [j13]Pravin Chandra
Review and extension of fault class hierarchy for testing Boolean specification. Int. J. Comput. Appl. Technol. 52(1): 29-38 (2015) - [c11]Apeksha Mittal, Pravin Chandra
A statistically resilient method of weight initialization for SFANN. ICACCI 2015: 1371-1376 - [c10]Pravin Chandra
A non-sigmoidal activation function for feedforward artificial neural networks. IJCNN 2015: 1-8 - 2014
- [j12]Ravinder Kumar, Pravin Chandra, Madasu Hanmandlu:
Rotational invariant fingerprint matching using local directional descriptors. Int. J. Comput. Intell. Stud. 3(4): 292-319 (2014) - [j11]Ravinder Kumar, Madasu Hanmandlu, Pravin Chandra
An empirical evaluation of rotation invariance of LDP feature for fingerprint matching using neural networks. Int. J. Comput. Vis. Robotics 4(4): 330-348 (2014) - [j10]Sartaj Singh Sodhi, Pravin Chandra
Bi-modal derivative activation function for sigmoidal feedforward networks. Neurocomputing 143: 182-196 (2014) - [j9]Rinkaj Goyal, Pravin Chandra, Yogesh Singh:
Why interaction between metrics should be considered in the development of software quality models: a preliminary study. ACM SIGSOFT Softw. Eng. Notes 39(4): 1-4 (2014) - [c9]Sartaj Singh Sodhi, Pravin Chandra
A new weight initialization method for sigmoidal feedforward artificial neural networks. IJCNN 2014: 291-298 - 2013
- [c8]Amit Prakash Singh, Sartaj Singh Sodhi, Pravin Chandra
Metrics for Weight Stuck-at-Zero Fault in Sigmoidal FFANNs. EMS 2013: 61-66 - [c7]Ravinder Kumar, Pravin Chandra
Fingerprint Matching Using Rotational Invariant Image Based Descriptor and Machine Learning Techniques. ICETET 2013: 13-18 - 2012
- [c6]Sarfaraz Masood
Training neural network with zero weight initialization. CUBE 2012: 235-239 - 2011
- [c5]Sudhir Kumar Sharma
An Adaptive Sigmoidal Activation Function Cascading Neural Networks. SOCO 2011: 105-116 - 2010
- [c4]Amit Prakash Singh, Pravin Chandra
Sensitivity Measurement of Neural Hardware: A Simulation Based Study. IC3 (2) 2010: 131-141 - [c3]Amit Prakash Singh, Chandra Shekhar Rai
Metrics for measurement of additive noise to weight in sigmoidal FFANNs. ICARCV 2010: 2197-2201 - [c2]Sudhir Kumar Sharma
An Adaptive Slope Sigmoidal Function Cascading Neural Networks Algorithm. ICETET 2010: 531-536
2000 – 2009
- 2006
- [j8]R. K. Singh, Pravin Chandra, Yogesh Singh:
An evaluation of Boolean expression testing techniques. ACM SIGSOFT Softw. Eng. Notes 31(5): 1-6 (2006) - 2005
- [j7]K. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri:
Evaluation of various training algorithms in a neural network model for software engineering applications. ACM SIGSOFT Softw. Eng. Notes 30(4): 1-4 (2005) - [j6]K. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri:
Sensitivity analysis of fuzzy and neural network models. ACM SIGSOFT Softw. Eng. Notes 30(4): 1-4 (2005) - [j5]K. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri:
An expert committee model to estimate lines of code. ACM SIGSOFT Softw. Eng. Notes 30(5): 1-4 (2005) - 2004
- [j4]Pravin Chandra
A case for the self-adaptation of activation functions in FFANNs. Neurocomputing 56: 447-454 (2004) - [j3]Pravin Chandra
An activation function adapting training algorithm for sigmoidal feedforward networks. Neurocomputing 61: 429-437 (2004) - [j2]Pravin Chandra
Feedforward sigmoidal networks - equicontinuity and fault-tolerance properties. IEEE Trans. Neural Networks 15(6): 1350-1366 (2004) - [c1]Yogesh Singh, Bindu Goel, Pravin Chandra:
A model for corrective maintenance time prediction using neural network. IASTED Conf. on Software Engineering and Applications 2004: 216-221 - 2003
- [j1]Pravin Chandra:
Sigmoidal Function Classes for Feedforward Artificial Neural Networks. Neural Process. Lett. 18(3): 205-215 (2003)
Coauthor Index
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