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Dr. Babita Majhi
Dr. Babita Majhi
Associate Professor, Dept. of CSIT, Guru Ghasidas Vishwavidyalaya, Central University, Bilaspur
Verified email at ggu.ac.in - Homepage
Title
Cited by
Cited by
Year
Sentiment analysis of Twitter data for predicting stock market movements
VS Pagolu, KN Reddy, G Panda, B Majhi
2016 international conference on signal processing, communication, power and …, 2016
5562016
IIR system identification using cat swarm optimization
G Panda, PM Pradhan, B Majhi
Expert Systems with Applications 38 (10), 12671-12683, 2011
2512011
Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques
R Majhi, G Panda, B Majhi, G Sahoo
Expert systems with applications 36 (6), 10097-10104, 2009
1972009
Impact of COVID-19 on GDP of major economies: Application of the artificial neural network forecaster
PR Jena, R Majhi, R Kalli, S Managi, B Majhi
Economic Analysis and Policy 69, 324-339, 2021
1412021
Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training
M Rout, B Majhi, R Majhi, G Panda
Journal of King Saud University-Computer and Information Sciences 26 (1), 7-18, 2014
1332014
Improved prediction of daily pan evaporation using Deep-LSTM model
B Majhi, D Naidu, AP Mishra, SC Satapathy
Neural Computing and Applications 32, 7823-7838, 2020
992020
An improved approach for prediction of Parkinson's disease using machine learning techniques
KNR Challa, VS Pagolu, G Panda, B Majhi
2016 international conference on signal processing, communication, power and …, 2016
952016
Hybrid nonlinear adaptive scheme for stock market prediction using feedback FLANN and factor analysis
CM Anish, B Majhi
Journal of the Korean Statistical Society 45 (1), 64-76, 2016
672016
Robust identification of nonlinear complex systems using low complexity ANN and particle swarm optimization technique
B Majhi, G Panda
Expert Systems with Applications 38 (1), 321-333, 2011
642011
New robust forecasting models for exchange rates prediction
B Majhi, M Rout, R Majhi, G Panda, PJ Fleming
Expert Systems with Applications 39 (16), 12658-12670, 2012
562012
Development of efficient identification scheme for nonlinear dynamic systems using swarm intelligence techniques
B Majhi, G Panda
Expert Systems with Applications 37 (1), 556-566, 2010
562010
Improved identification of Hammerstein plants using new CPSO and IPSO algorithms
SJ Nanda, G Panda, B Majhi
Expert systems with applications 37 (10), 6818-6831, 2010
532010
Identification of nonlinear systems using particle swarm optimization technique
G Panda, D Mohanty, B Majhi, G Sahoo
2007 IEEE Congress on Evolutionary Computation, 3253-3257, 2007
532007
Multiobjective optimization based adaptive models with fuzzy decision making for stock market forecasting
B Majhi, CM Anish
Neurocomputing 167, 502-511, 2015
482015
Prediction based mean-variance model for constrained portfolio assets selection using multiobjective evolutionary algorithms
SK Mishra, G Panda, B Majhi
Swarm and evolutionary computation 28, 117-130, 2016
432016
On the development and performance evaluation of a multiobjective GA-based RBF adaptive model for the prediction of stock indices
B Majhi, M Rout, V Baghel
Journal of King Saud University-Computer and Information Sciences 26 (3 …, 2014
432014
Development and performance evaluation of a novel knowledge guided artificial neural network (KGANN) model for exchange rate prediction
PR Jena, R Majhi, B Majhi
Journal of King Saud University-Computer and Information Sciences 27 (4 …, 2015
412015
Bacterial foraging based identification of nonlinear dynamic system
B Majhi, G Panda
2007 IEEE Congress on Evolutionary Computation, 1636-1641, 2007
402007
Application of artificial intelligence in pharmaceutical and biomedical studies
A Thakur, AP Mishra, B Panda, D Rodríguez, I Gaurav, B Majhi
Current pharmaceutical design 26 (29), 3569-3578, 2020
362020
Robust identification using new Wilcoxon least mean square algorithm
B Majhi, G Panda, B Mulgrew
Electronics letters 45 (6), 1, 2009
362009
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