Ranjeeta Bisoi
Orcid: 0000-0002-2651-2130
According to our database1,
Ranjeeta Bisoi
authored at least 31 papers
between 2011 and 2024.
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Bibliography
2024
Epileptic EEG signal classification using an improved VMD-based convolutional stacked autoencoder.
Pattern Anal. Appl., March, 2024
2023
Autoencoder-based improved deep learning approach for schizophrenic EEG signal classification.
Pattern Anal. Appl., May, 2023
A real-time DC faults diagnosis in a DC ring microgrid by using derivative current based optimal weighted broad learning system.
Appl. Soft Comput., 2023
An Integrated Nature-Inspired Algorithm Hybridized Adaptive Broad Learning System for Disease Classification.
IEEE Access, 2023
2022
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., 2022
Modified added activation function based exponential robust random vector functional link network with expanded version for nonlinear system identification.
Appl. Intell., 2022
Influential Gene Selection From High-Dimensional Genomic Data Using a Bio-Inspired Algorithm Wrapped Broad Learning System.
IEEE Access, 2022
2021
Automatic identification of epileptic seizure signal using optimized added kernel support vector machine (OAKSVM).
Neural Comput. Appl., 2021
Deep long short term memory based minimum variance kernel random vector functional link network for epileptic EEG signal classification.
Eng. Appl. Artif. Intell., 2021
2020
Short-term solar power prediction using multi-kernel-based random vector functional link with water cycle algorithm-based parameter optimization.
Neural Comput. Appl., 2020
Short-term electricity price forecasting and classification in smart grids using optimized multikernel extreme learning machine.
Neural Comput. Appl., 2020
Multi-kernel-based random vector functional link network with decomposed features for epileptic EEG signal classification.
IET Signal Process., 2020
2019
A low rank robust kernel ridge regression classifier for power quality disturbance pattern recognition.
Int. J. Knowl. Based Intell. Eng. Syst., 2019
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition.
Int. J. Autom. Comput., 2019
Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis.
Appl. Soft Comput., 2019
Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting.
Appl. Soft Comput., 2019
A Hybridized Adaptive Fruit Fly Optimization Based Online Sequential Extreme Learning Machine for Bio-Medical Data Classification.
Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019
2018
Data decomposition based fast reduced kernel extreme learning machine for currency exchange rate forecasting and trend analysis.
Expert Syst. Appl., 2018
2017
Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach.
J. King Saud Univ. Comput. Inf. Sci., 2017
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., 2017
Times Series Forecasting using Chebyshev Functions based Locally Recurrent neuro-Fuzzy Information System.
Int. J. Comput. Intell. Syst., 2017
2016
Comparison of modified teaching-learning-based optimization and extreme learning machine for classification of multiple power signal disturbances.
Neural Comput. Appl., 2016
A hybrid functional link dynamic neural network and evolutionary unscented Kalman filter for short-term electricity price forecasting.
Neural Comput. Appl., 2016
A Hybrid Kernel Extreme Learning Machine and Improved Cat Swarm Optimization for Microarray Medical Data Classification.
Int. J. Appl. Evol. Comput., 2016
2015
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., 2015
A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction.
Int. J. Approx. Reason., 2015
2014
A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction.
Swarm Evol. Comput., 2014
A hybrid decision tree and new frequency filtering S-transform for simultaneous power signal disturbance pattern recognition.
Int. J. Knowl. Based Intell. Eng. Syst., 2014
A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter.
Appl. Soft Comput., 2014
2012
Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering.
Swarm Evol. Comput., 2012
2011
Int. J. Data Min. Model. Manag., 2011