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Ritanjali Majhi
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2020 – today
- 2021
- [j16]Pradyot Ranjan Jena, Ritanjali Majhi
:
An application of artificial neural network classifier to analyze the behavioral traits of smallholder farmers in Kenya. Evol. Intell. 14(2): 281-291 (2021) - [j15]Babita Majhi, C. M. Anish
, Ritanjali Majhi
:
On development of novel hybrid and robust adaptive models for net asset value prediction. J. King Saud Univ. Comput. Inf. Sci. 33(6): 647-657 (2021) - [e1]Suresh Chandra Satapathy, Yu-Dong Zhang, Vikrant Bhateja, Ritanjali Majhi:
Intelligent Data Engineering and Analytics - Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2, Karnataka, Surathkal, India, January 4-5, 2020. Advances in Intelligent Systems and Computing 1177, Springer 2021, ISBN 978-981-15-5678-4 [contents] - 2020
- [j14]Vikas Bhatnagar
, Ritanjali Majhi
:
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. 33(2): 157-179 (2020) - [j13]Vikas Bhatnagar
, Ritanjali Majhi
, Sunil Sahadev
:
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. 32(2): 254-265 (2020) - [c6]R. Arjun
, K. R. Suprabha, Ritanjali Majhi:
Deep Learning for Stock Index Tracking: Bank Sector Case. FICTA (1) 2020: 295-304
2010 – 2019
- 2015
- [j12]T. Rahul, Ritanjali Majhi
:
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. 19(1): 1-18 (2015) - [j11]Pradyot Ranjan Jena
, Ritanjali Majhi
, Babita Majhi:
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. 27(4): 450-457 (2015) - 2014
- [j10]Minakhi Rout
, Babita Majhi, Ritanjali Majhi
, Ganapati Panda:
Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training. J. King Saud Univ. Comput. Inf. Sci. 26(1): 7-18 (2014) - [j9]Sudhansu Kumar Mishra
, Ganapati Panda
, Ritanjali Majhi
:
Constrained portfolio asset selection using multiobjective bacteria foraging optimization. Oper. Res. 14(1): 113-145 (2014) - [j8]Sudhansu Kumar Mishra
, Ganapati Panda
, Ritanjali Majhi
:
A comparative performance assessment of a set of multiobjective algorithms for constrained portfolio assets selection. Swarm Evol. Comput. 16: 38-51 (2014) - 2012
- [j7]Ritanjali Majhi
, Babita Majhi, Ganapati Panda
:
Development and performance evaluation of neural network classifiers for Indian internet shoppers. Expert Syst. Appl. 39(2): 2112-2118 (2012) - [j6]Babita Majhi, Minakhi Rout
, Ritanjali Majhi
, Ganapati Panda
, Peter J. Fleming
:
New robust forecasting models for exchange rates prediction. Expert Syst. Appl. 39(16): 12658-12670 (2012) - [j5]Ritanjali Majhi:
An Investigation on Customer Attitude and Perception towards Internet Banking: A Case Study. Int. J. Inf. Syst. Soc. Chang. 3(1): 75-93 (2012) - 2011
- [p1]Ritanjali Majhi, Babita Majhi, Ganapati Panda:
Efficient Prediction of Retail Sales Using Differential Evolution Based Adaptive Model. Integration of Swarm Intelligence and Artificial Neural Network 2011: 213-238 - 2010
- [j4]Sudhansu Kumar Mishra
, Ganapati Panda
, Sukadev Meher, Ritanjali Majhi
:
Multi-objective evolutionary algorithms for financial portfolio design. Int. J. Comput. Vis. Robotics 1(2): 236-247 (2010)
2000 – 2009
- 2009
- [j3]Ritanjali Majhi
, Ganapati Panda
, Gadadhar Sahoo
:
Efficient prediction of exchange rates with low complexity artificial neural network models. Expert Syst. Appl. 36(1): 181-189 (2009) - [j2]Ritanjali Majhi
, Ganapati Panda
, Gadadhar Sahoo
:
Development and performance evaluation of FLANN based model for forecasting of stock markets. Expert Syst. Appl. 36(3): 6800-6808 (2009) - [j1]Ritanjali Majhi
, Ganapati Panda
, Babita Majhi, Gadadhar Sahoo
:
Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques. Expert Syst. Appl. 36(6): 10097-10104 (2009) - [c5]Ritanjali Majhi
, Ganapati Panda
, Babita Majhi:
Robust Prediction of Stock Indices using PSO based Adaptive Linear Combiner. NaBIC 2009: 312-317 - [c4]Ritanjali Majhi
, Sashikala Mishra
, Ganapati Panda
, Minakhi Rout
:
Efficient Sales Forecasting using PSO based Adaptive ARMA Model. NaBIC 2009: 1333-1337 - [c3]Ritanjali Majhi
, Ganapati Panda
, Babita Majhi, S. K. Panigrahi, M. K. Mishra:
Forecasting of Retail Sales Data using Differential Evolution. NaBIC 2009: 1343-1348 - 2008
- [c2]Ritanjali Majhi
, Ganapati Panda
, Gadadhar Sahoo
, Abhishek Panda, Arvind Choubey:
Prediction of S&P 500 and DJIA stock indices using Particle Swarm Optimization technique. IEEE Congress on Evolutionary Computation 2008: 1276-1282 - 2007
- [c1]Ritanjali Majhi
, Ganapati Panda
, Gadadhar Sahoo
, Pradipta K. Dash, Debi Prasad Das:
Stock market prediction of S&P 500 and DJIA using Bacterial Foraging Optimization Technique. IEEE Congress on Evolutionary Computation 2007: 2569-2575
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