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Ranjeeta Bisoi
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2020 – today
- 2024
- [j32]Anshuman Satpathy, Snehamoy Dhar
, P. K. Dash, Ranjeeta Bisoi, Niranjan Nayak:
A new representation learning based maximum power operation towards improved energy management integration with DG controllers for photovoltaic generators using online deep exponentially expanded RVFLN algorithm. Appl. Soft Comput. 166: 112185 (2024) - [j31]Sebamai Parija, Pradipta Kishore Dash
Epileptic EEG signal classification using an improved VMD-based convolutional stacked autoencoder. Pattern Anal. Appl. 27(1): 9 (2024) - 2023
- [j30]Pournamasi Parhi
An Integrated Nature-Inspired Algorithm Hybridized Adaptive Broad Learning System for Disease Classification. IEEE Access 11: 31636-31656 (2023) - [j29]Kanche Anjaiah
A real-time DC faults diagnosis in a DC ring microgrid by using derivative current based optimal weighted broad learning system. Appl. Soft Comput. 142: 110334 (2023) - [j28]Snigdha Sarangi, Pradipta Kishore Dash
Probabilistic prediction of wind speed using an integrated deep belief network optimized by a hybrid multi-objective particle swarm algorithm. Eng. Appl. Artif. Intell. 126: 107034 (2023) - [j27]Sebamai Parija, Mrutyunjaya Sahani, Ranjeeta Bisoi, P. K. Dash
Autoencoder-based improved deep learning approach for schizophrenic EEG signal classification. Pattern Anal. Appl. 26(2): 403-435 (2023) - 2022
- [j26]Pournamasi Parhi
Influential Gene Selection From High-Dimensional Genomic Data Using a Bio-Inspired Algorithm Wrapped Broad Learning System. IEEE Access 10: 49219-49232 (2022) - [j25]Debashisa Samal
Modified added activation function based exponential robust random vector functional link network with expanded version for nonlinear system identification. Appl. Intell. 52(5): 5657-5683 (2022) - [j24]Ranjeeta Bisoi, Pournamasi Parhi, P. K. Dash:
Hybrid modified weighted water cycle algorithm and Deep Analytic Network for forecasting and trend detection of forex market indices. Int. J. Knowl. Based Intell. Eng. Syst. 26(4): 249-269 (2022) - 2021
- [j23]Sebamai Parija, Ranjeeta Bisoi, P. K. Dash, Mrutyunjaya Sahani:
Deep long short term memory based minimum variance kernel random vector functional link network for epileptic EEG signal classification. Eng. Appl. Artif. Intell. 105: 104426 (2021) - [j22]Debashisa Samal
Automatic identification of epileptic seizure signal using optimized added kernel support vector machine (OAKSVM). Neural Comput. Appl. 33(15): 9109-9123 (2021) - 2020
- [j21]Sebamai Parija, Pradipta Kishore Dash, Ranjeeta Bisoi:
Multi-kernel-based random vector functional link network with decomposed features for epileptic EEG signal classification. IET Signal Process. 14(3): 162-174 (2020) - [j20]Ranjeeta Bisoi, P. K. Dash, Pragyan P. Das:
Short-term electricity price forecasting and classification in smart grids using optimized multikernel extreme learning machine. Neural Comput. Appl. 32(5): 1457-1480 (2020) - [j19]Irani Majumder, P. K. Dash, Ranjeeta Bisoi:
Short-term solar power prediction using multi-kernel-based random vector functional link with water cycle algorithm-based parameter optimization. Neural Comput. Appl. 32(12): 8011-8029 (2020)
2010 – 2019
- 2019
- [j18]Ranjeeta Bisoi, P. K. Dash, A. K. Parida:
Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis. Appl. Soft Comput. 74: 652-678 (2019) - [j17]Ranjeeta Bisoi, P. K. Dash, S. Mishra:
Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting. Appl. Soft Comput. 80: 475-493 (2019) - [j16]Nihar Ranjan Nayak
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition. Int. J. Autom. Comput. 16(3): 398-412 (2019) - [j15]Nihar Ranjan Nayak, Ranjeeta Bisoi, P. K. Dash:
A low rank robust kernel ridge regression classifier for power quality disturbance pattern recognition. Int. J. Knowl. Based Intell. Eng. Syst. 23(4): 219-240 (2019) - [c1]Pournamasi Parhi, Ranjeeta Bisoi, Prachitara Satapathy:
A Hybridized Adaptive Fruit Fly Optimization Based Online Sequential Extreme Learning Machine for Bio-Medical Data Classification. ICIT 2019: 149-154 - 2018
- [j14]Pragyan P. Das, Ranjeeta Bisoi, P. K. Dash:
Data decomposition based fast reduced kernel extreme learning machine for currency exchange rate forecasting and trend analysis. Expert Syst. Appl. 96: 427-449 (2018) - 2017
- [j13]A. K. Parida, Ranjeeta Bisoi, P. K. Dash, S. Mishra:
Times Series Forecasting using Chebyshev Functions based Locally Recurrent neuro-Fuzzy Information System. Int. J. Comput. Intell. Syst. 10(1): 375-393 (2017) - [j12]Dwiti Krishna Bebarta, Ranjeeta Bisoi, P. K. Dash:
Mining of electricity prices in energy markets using a hybrid linear ARMA and nonlinear functional link neural network trained by evolutionary unscented H-infinity filter. Int. J. Inf. Decis. Sci. 9(1): 1-26 (2017) - [j11]Ajit Kumar Rout, P. K. Dash, Rajashree Dash
Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach. J. King Saud Univ. Comput. Inf. Sci. 29(4): 536-552 (2017) - 2016
- [j10]Sreejit Chakravarty, Ranjeeta Bisoi, P. K. Dash:
A Hybrid Kernel Extreme Learning Machine and Improved Cat Swarm Optimization for Microarray Medical Data Classification. Int. J. Appl. Evol. Comput. 7(3): 71-100 (2016) - [j9]P. K. Nayak, S. Mishra, P. K. Dash, Ranjeeta Bisoi:
Comparison of modified teaching-learning-based optimization and extreme learning machine for classification of multiple power signal disturbances. Neural Comput. Appl. 27(7): 2107-2122 (2016) - [j8]Sujit Kumar Dash, Ranjeeta Bisoi, P. K. Dash:
A hybrid functional link dynamic neural network and evolutionary unscented Kalman filter for short-term electricity price forecasting. Neural Comput. Appl. 27(7): 2123-2140 (2016) - 2015
- [j7]Rajashree Dash
A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction. Int. J. Approx. Reason. 59: 81-104 (2015) - [j6]Ranjeeta Bisoi, Pradipta Kishore Dash:
Prediction of financial time series and its volatility using a hybrid dynamic neural network trained by sliding mode algorithm and differential evolution. Int. J. Inf. Decis. Sci. 7(2): 166-191 (2015) - 2014
- [j5]Ranjeeta Bisoi, Pradipta K. Dash:
A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter. Appl. Soft Comput. 19: 41-56 (2014) - [j4]Ranjeeta Bisoi, Pradipta Kishore Dash, P. K. Nayak:
A hybrid decision tree and new frequency filtering S-transform for simultaneous power signal disturbance pattern recognition. Int. J. Knowl. Based Intell. Eng. Syst. 18(4): 229-245 (2014) - [j3]Rajashree Dash
A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction. Swarm Evol. Comput. 19: 25-42 (2014) - 2012
- [j2]Bijaya N. Biswal, Himansu Sekhar Behera
Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering. Swarm Evol. Comput. 4: 12-24 (2012) - 2011
- [j1]Ranjeeta Bisoi, Pradipta K. Dash:
A PSO based time series data clustering using modified S-transform for data mining. Int. J. Data Min. Model. Manag. 3(3): 277-302 (2011)
Coauthor Index
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