Babita Majhi

According to our database1, Babita Majhi authored at least 50 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
An improved method for diagnosis of Parkinson's disease using deep learning models enhanced with metaheuristic algorithm.
BMC Medical Imaging, December, 2024

Distributed machine learning strategies for efficient development of direct and inverse nonlinear and IIR models.
J. Ambient Intell. Humaniz. Comput., January, 2024

Explainable AI-driven machine learning for heart disease detection using ECG signal.
Appl. Soft Comput., 2024

2023
Optimizing LightGBM for Intrusion Detection Systems using GOA.
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
Improved prediction of daily pan evaporation using Deep-LSTM model.
Neural Comput. Appl., 2020

2019
Financial time series prediction using distributed machine learning techniques.
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
Constrained LMMSE-based object-specific reconstruction in compressive sensing.
IET Signal Process., 2017

2016
Prediction based mean-variance model for constrained portfolio assets selection using multiobjective evolutionary algorithms.
Swarm Evol. Comput., 2016

Sentiment Analysis of Twitter Data for Predicting Stock Market Movements.
CoRR, 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

TLBO Based Hybrid Forecasting Model for Prediction of Exchange Rates.
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

New robust forecasting models for exchange rates prediction.
Expert Syst. Appl., 2012

Development and performance evaluation of neural network classifiers for Indian internet shoppers.
Expert Syst. Appl., 2012

Stock Indices Prediction Using Radial Basis Function Neural Network.
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

IIR system identification using cat swarm optimization.
Expert Syst. Appl., 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
Improved identification of Hammerstein plants using new CPSO and IPSO algorithms.
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

Forecasting of Retail Sales Data using Differential Evolution.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

Robust Prediction of Stock Indices using PSO based Adaptive Linear Combiner.
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

Robust Distributed Optimization in Wireless Sensor Network.
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

Identification of nonlinear systems using particle swarm optimization technique.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Bacterial foraging based identification of nonlinear dynamic system.
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


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