Babita Majhi
According to our database1,
Babita Majhi
authored at least 48 papers
between 2006 and 2024.
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Bibliography
2024
Distributed machine learning strategies for efficient development of direct and inverse nonlinear and IIR models.
J. Ambient Intell. Humaniz. Comput., January, 2024
2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
2021
On development of novel hybrid and robust adaptive models for net asset value prediction.
J. King Saud Univ. Comput. Inf. Sci., 2021
A novel improved prediction of protein structural class using deep recurrent neural network.
Evol. Intell., 2021
2020
Neural Comput. Appl., 2020
2019
Neural Comput. Appl., 2019
Recognition of Odia Handwritten Digits using Gradient based Feature Extraction Method and Clonal Selection Algorithm.
Int. J. Rough Sets Data Anal., 2019
On the development of cat swarm metaheuristic using distributed learning strategies and the applications.
Int. J. Intell. Comput. Cybern., 2019
2017
IET Signal Process., 2017
2016
Prediction based mean-variance model for constrained portfolio assets selection using multiobjective evolutionary algorithms.
Swarm Evol. Comput., 2016
An Improved Approach for Prediction of Parkinson's Disease using Machine Learning Techniques.
CoRR, 2016
2015
Development and performance evaluation of a novel knowledge guided artificial neural network (KGANN) model for exchange rate prediction.
J. King Saud Univ. Comput. Inf. Sci., 2015
Multiobjective optimization based adaptive models with fuzzy decision making for stock market forecasting.
Neurocomputing, 2015
2014
Development of robust distributed learning strategies for wireless sensor networks using rank based norms.
Signal Process., 2014
Robust incremental adaptive strategies for distributed networks to handle outliers in both input and desired data.
Signal Process., 2014
Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training.
J. King Saud Univ. Comput. Inf. Sci., 2014
On the development and performance evaluation of a multiobjective GA-based RBF adaptive model for the prediction of stock indices.
J. King Saud Univ. Comput. Inf. Sci., 2014
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014
2013
Distributed DOA estimation using clustering of sensor nodes and diffusion PSO algorithm.
Swarm Evol. Comput., 2013
Distributed and robust parameter estimation of IIR systems using incremental particle swarm optimization.
Digit. Signal Process., 2013
Prediction of Protein Structural Class by Functional Link Artificial Neural Network Using Hybrid Feature Extraction Method.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013
2012
QR-based incremental minimum-Wilcoxon-norm strategies for distributed wireless sensor networks.
Signal Process., 2012
Expert Syst. Appl., 2012
Development and performance evaluation of neural network classifiers for Indian internet shoppers.
Expert Syst. Appl., 2012
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012
2011
Efficient Prediction of Retail Sales Using Differential Evolution Based Adaptive Model.
Proceedings of the Integration of Swarm Intelligence and Artificial Neural Network, 2011
Robust identification of nonlinear complex systems using low complexity ANN and particle swarm optimization technique.
Expert Syst. Appl., 2011
Maximum likelihood DOA estimation in distributed wireless sensor network using adaptive particle swarm optimization.
Proceedings of the 2011 International Conference on Communication, 2011
2010
Expert Syst. Appl., 2010
Development of efficient identification scheme for nonlinear dynamic systems using swarm intelligence techniques.
Expert Syst. Appl., 2010
2009
Non-linear dynamic system identification using Cascaded Functional Link Artificial Neural Network.
Int. J. Artif. Intell. Soft Comput., 2009
Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques.
Expert Syst. Appl., 2009
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
An Efficient Multi-objective Pulse Radar Compression Technique using RBF and NSGA-II.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
Robust identification and prediction using Wilcoxon norm and particle swarm optimization.
Proceedings of the 17th European Signal Processing Conference, 2009
Development of immunized pso algorithm and its application to hammerstein model identification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Distributed identification of nonlinear processes using incremental and diffusion type PSO algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Proceedings of the ARTCom 2009, 2009
2008
Development of Novel Digital Equalizers for Noisy Nonlinear Channel using Artificial Immune System.
Proceedings of the IEEE Reglon 10 Colloquium and Third International Conference on Industrial and Information Systems, 2008
Development of a New Optimization Algorithm Based on Artificial Immune System and Its Application.
Proceedings of the 2008 International Conference on Information Technology, 2008
Efficient scheme of pole-zero system identification using Particle Swarm Optimization technique.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
A GA-Based Pruning Strategy and Weight Update Algorithm for Efficient Nonlinear System Identification.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Recovery of Digital Information Using Bacterial Foraging Optimization Based Nonlinear Channel Equalizers.
Proceedings of the First IEEE International Conference on Digital Information Management (ICDIM), 2006