Pravin Chandra

38 papers B 4C 1Journal 23Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	An empirical analysis of software fault proneness using factor analysis with regression. Multim. Tools Appl. Deepak Sharma, Pravin Chandra
2022	J	`jnl`	Effects of similarity/distance metrics on k-means algorithm with respect to its applications in IoT and multimedia: a review. Multim. Tools Appl. Manoj Kumar Gupta, Pravin Chandra
2021	J	`jnl`	Weight and bias initialization routines for Sigmoidal Feedforward Network. Appl. Intell. Apeksha Mittal, Amit Prakash Singh, Pravin Chandra
2020	J	`jnl`	Threshold sensitive clustering in SEP. Sustain. Comput. Informatics Syst. Nihar Ranjan Roy, Pravin Chandra
2019	J	`jnl`	Identification of latent variables using, factor analysis and multiple linear regression for software fault prediction. Int. J. Syst. Assur. Eng. Manag. Deepak Sharma, Pravin Chandra
2018	J	`jnl`	A Note on Optimum Cluster Estimation in LEACH Protocol. IEEE Access Nihar Ranjan Roy, Pravin Chandra
2017	J	`jnl`	Bi-modal derivative adaptive activation function sigmoidal feedforward artificial neural networks. Appl. Soft Comput. Akash Mishra, Pravin Chandra, Udayan Ghose, Sartaj Singh Sodhi
2017	J	`jnl`	Fuzzy inferencing to identify degree of interaction in the development of fault prediction models. J. King Saud Univ. Comput. Inf. Sci. Rinkaj Goyal, Pravin Chandra, Yogesh Singh
2016	J	`jnl`	A Robust Fingerprint Matching System Using Orientation Features. J. Inf. Process. Syst. Ravinder Kumar, Pravin Chandra, Madasu Hanmandlu
2016	—	`conf`	Applicability of Soft Computing and Optimization Algorithms in Software Testing and Metrics - A Brief Review. SoCPaR Deepak Sharma, Pravin Chandra
2016	J	`jnl`	Sentiment Predictions Using Deep Belief Networks Model for Odd-Even Policy in Delhi. Int. J. Synth. Emot. Sudhir Kumar Sharma, Ximi Hoque, Pravin Chandra
2016	—	`conf`	Soft Computing Based Software Testing - A Concise Travelogue. SocProS (2) Deepak Sharma, Pravin Chandra
2015	B	`conf`	A non-sigmoidal activation function for feedforward artificial neural networks. IJCNN Pravin Chandra, Udayan Ghose, Apoorvi Sood
2015	—	`conf`	A statistically resilient method of weight initialization for SFANN. ICACCI Apeksha Mittal, Pravin Chandra, Amit Prakash Singh
2015	J	`jnl`	Review and extension of fault class hierarchy for testing Boolean specification. Int. J. Comput. Appl. Technol. Pravin Chandra, R. K. Singh, Yogesh Singh
2014	B	`conf`	A new weight initialization method for sigmoidal feedforward artificial neural networks. IJCNN Sartaj Singh Sodhi, Pravin Chandra, Sharad Tanwar
2014	J	`jnl`	An empirical evaluation of rotation invariance of LDP feature for fingerprint matching using neural networks. Int. J. Comput. Vis. Robotics Ravinder Kumar, Madasu Hanmandlu, Pravin Chandra
2014	J	`jnl`	Bi-modal derivative activation function for sigmoidal feedforward networks. Neurocomputing Sartaj Singh Sodhi, Pravin Chandra
2014	J	`jnl`	Rotational invariant fingerprint matching using local directional descriptors. Int. J. Comput. Intell. Stud. Ravinder Kumar, Pravin Chandra, Madasu Hanmandlu
2014	J	`jnl`	Why interaction between metrics should be considered in the development of software quality models: a preliminary study. ACM SIGSOFT Softw. Eng. Notes Rinkaj Goyal, Pravin Chandra, Yogesh Singh
2013	—	`conf`	Fingerprint Matching Using Rotational Invariant Image Based Descriptor and Machine Learning Techniques. ICETET Ravinder Kumar, Pravin Chandra, Madasu Hanmandlu
2013	—	`conf`	Metrics for Weight Stuck-at-Zero Fault in Sigmoidal FFANNs. EMS Amit Prakash Singh, Sartaj Singh Sodhi, Pravin Chandra, Chandra Shekhar Rai
2012	—	`conf`	Training neural network with zero weight initialization. CUBE Sarfaraz Masood, Pravin Chandra
2011	—	`conf`	An Adaptive Sigmoidal Activation Function Cascading Neural Networks. SOCO Sudhir Kumar Sharma, Pravin Chandra
2010	—	`conf`	An Adaptive Slope Sigmoidal Function Cascading Neural Networks Algorithm. ICETET Sudhir Kumar Sharma, Pravin Chandra
2010	C	`conf`	Metrics for measurement of additive noise to weight in sigmoidal FFANNs. ICARCV Amit Prakash Singh, Chandra Shekhar Rai, Pravin Chandra
2010	—	`conf`	Sensitivity Measurement of Neural Hardware: A Simulation Based Study. IC3 (2) Amit Prakash Singh, Pravin Chandra, Chandra Shekhar Rai
2006	J	`jnl`	An evaluation of Boolean expression testing techniques. ACM SIGSOFT Softw. Eng. Notes R. K. Singh, Pravin Chandra, Yogesh Singh
2005	J	`jnl`	An expert committee model to estimate lines of code. ACM SIGSOFT Softw. Eng. Notes K. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri
2005	J	`jnl`	Evaluation of various training algorithms in a neural network model for software engineering applications. ACM SIGSOFT Softw. Eng. Notes K. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri
2005	J	`jnl`	Sensitivity analysis of fuzzy and neural network models. ACM SIGSOFT Softw. Eng. Notes K. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri
2004	J	`jnl`	A case for the self-adaptation of activation functions in FFANNs. Neurocomputing Pravin Chandra, Yogesh Singh
2004	—	`conf`	A model for corrective maintenance time prediction using neural network. IASTED Conf. on Software Engineering and Applications Yogesh Singh, Bindu Goel, Pravin Chandra
2004	J	`jnl`	An activation function adapting training algorithm for sigmoidal feedforward networks. Neurocomputing Pravin Chandra, Yogesh Singh
2004	J	`jnl`	Feedforward sigmoidal networks - equicontinuity and fault-tolerance properties. IEEE Trans. Neural Networks Pravin Chandra, Yogesh Singh
2003	B	`conf`	Fault tolerance of feedforward artificial neural networks- a framework of study. IJCNN Pravin Chandra, Yogesh Singh
2003	B	`conf`	Regularization and Feedforward artificial neural network training with noise. IJCNN Pravin Chandra, Yogesh Singh
2003	J	`jnl`	Sigmoidal Function Classes for Feedforward Artificial Neural Networks. Neural Process. Lett. Pravin Chandra