Ritanjali Majhi

24 papers B 2Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2021 J jnl
An application of artificial neural network classifier to analyze the behavioral traits of smallholder farmers in Kenya.
Evol. Intell.
Pradyot Ranjan Jena, Ritanjali Majhi
2021 — ed.
Intelligent Data Engineering and Analytics - Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2, Karnataka, Surathkal, India, January 4-5, 2020.
FICTA (2)
Suresh Chandra Satapathy, Yu-Dong Zhang, Vikrant Bhateja, Ritanjali Majhi
2021 J jnl
On development of novel hybrid and robust adaptive models for net asset value prediction.
J. King Saud Univ. Comput. Inf. Sci.
Babita Majhi, C. M. Anish, Ritanjali Majhi
2020 — conf
Deep Learning for Stock Index Tracking: Bank Sector Case.
FICTA (1)
R. Arjun, K. R. Suprabha, Ritanjali Majhi
2020 J jnl
Development and comparative performance evaluation of neural network classification techniques for manufacturing sector firms on the basis of new product growth rate.
Int. J. Bus. Inf. Syst.
Vikas Bhatnagar, Ritanjali Majhi
2020 J jnl
Predicting numbers of successful new products to launch using soft computing techniques: A case of firms from manufacturing sector industries.
J. King Saud Univ. Comput. Inf. Sci.
Vikas Bhatnagar, Ritanjali Majhi, Sunil Sahadev
2015 J jnl
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.
Pradyot Ranjan Jena, Ritanjali Majhi, Babita Majhi
2015 J jnl
Development and performance evaluation of nonlinear and robust adaptive models for prediction of number of customers of mobile phone service providers.
Int. J. Bus. Inf. Syst.
T. Rahul, Ritanjali Majhi
2014 J jnl
A comparative performance assessment of a set of multiobjective algorithms for constrained portfolio assets selection.
Swarm Evol. Comput.
Sudhansu Kumar Mishra, Ganapati Panda, Ritanjali Majhi
2014 J jnl
Constrained portfolio asset selection using multiobjective bacteria foraging optimization.
Oper. Res.
Sudhansu Kumar Mishra, Ganapati Panda, Ritanjali Majhi
2014 J jnl
Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training.
J. King Saud Univ. Comput. Inf. Sci.
Minakhi Rout, Babita Majhi, Ritanjali Majhi, Ganapati Panda
2012 J jnl
An Investigation on Customer Attitude and Perception towards Internet Banking: A Case Study.
Int. J. Inf. Syst. Soc. Chang.
Ritanjali Majhi
2012 J jnl
Development and performance evaluation of neural network classifiers for Indian internet shoppers.
Expert Syst. Appl.
Ritanjali Majhi, Babita Majhi, Ganapati Panda
2012 J jnl
New robust forecasting models for exchange rates prediction.
Expert Syst. Appl.
Babita Majhi, Minakhi Rout, Ritanjali Majhi, Ganapati Panda, Peter J. Fleming
2011 — ch.
Efficient Prediction of Retail Sales Using Differential Evolution Based Adaptive Model.
Integration of Swarm Intelligence and Artificial Neural Network
Ritanjali Majhi, Babita Majhi, Ganapati Panda
2010 J jnl
Multi-objective evolutionary algorithms for financial portfolio design.
Int. J. Comput. Vis. Robotics
Sudhansu Kumar Mishra, Ganapati Panda, Sukadev Meher, Ritanjali Majhi
2009 J jnl
Development and performance evaluation of FLANN based model for forecasting of stock markets.
Expert Syst. Appl.
Ritanjali Majhi, Ganapati Panda, Gadadhar Sahoo
2009 — conf
Efficient Sales Forecasting using PSO based Adaptive ARMA Model.
NaBIC
Ritanjali Majhi, Sashikala Mishra, Ganapati Panda, Minakhi Rout
2009 J jnl
Efficient prediction of exchange rates with low complexity artificial neural network models.
Expert Syst. Appl.
Ritanjali Majhi, Ganapati Panda, Gadadhar Sahoo
2009 J jnl
Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques.
Expert Syst. Appl.
Ritanjali Majhi, Ganapati Panda, Babita Majhi, Gadadhar Sahoo
2009 — conf
Forecasting of Retail Sales Data using Differential Evolution.
NaBIC
Ritanjali Majhi, Ganapati Panda, Babita Majhi, S. K. Panigrahi, M. K. Mishra
2009 — conf
Robust Prediction of Stock Indices using PSO based Adaptive Linear Combiner.
NaBIC
Ritanjali Majhi, Ganapati Panda, Babita Majhi
2008 B conf
Prediction of S&P 500 and DJIA stock indices using Particle Swarm Optimization technique.
IEEE Congress on Evolutionary Computation
Ritanjali Majhi, Ganapati Panda, Gadadhar Sahoo, Abhishek Panda, Arvind Choubey
2007 B conf
Stock market prediction of S&P 500 and DJIA using Bacterial Foraging Optimization Technique.
IEEE Congress on Evolutionary Computation
Ritanjali Majhi, Ganapati Panda, Gadadhar Sahoo, Pradipta K. Dash, Debi Prasad Das