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 | 565 | 2016 |
IIR system identification using cat swarm optimization G Panda, PM Pradhan, B Majhi Expert Systems with Applications 38 (10), 12671-12683, 2011 | 251 | 2011 |
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 | 197 | 2009 |
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 | 142 | 2021 |
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 | 133 | 2014 |
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 | 99 | 2020 |
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 | 97 | 2016 |
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 | 67 | 2016 |
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 | 64 | 2011 |
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 | 56 | 2012 |
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 | 56 | 2010 |
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 | 54 | 2010 |
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 | 53 | 2007 |
Multiobjective optimization based adaptive models with fuzzy decision making for stock market forecasting B Majhi, CM Anish Neurocomputing 167, 502-511, 2015 | 49 | 2015 |
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 | 43 | 2016 |
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 | 43 | 2014 |
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 | 41 | 2015 |
Bacterial foraging based identification of nonlinear dynamic system B Majhi, G Panda 2007 IEEE Congress on Evolutionary Computation, 1636-1641, 2007 | 40 | 2007 |
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 | 36 | 2020 |
Robust identification using new Wilcoxon least mean square algorithm B Majhi, G Panda, B Mulgrew Electronics letters 45 (6), 1, 2009 | 36 | 2009 |