Ranjeeta Bisoi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 27

Top Topics

Particle Swarm Algorithm

Unscented Kalman Filter

Hybrid Evolutionary

Top Venues

Neural Comput. Appl.

Appl. Soft Comput.

Int. J. Knowl. Based Intell. Eng. Syst.

Int. J. Inf. Decis. Sci.

Publications

Sebamai Parija, Pradipta Kishore Dash, Ranjeeta Bisoi
Epileptic EEG signal classification using an improved VMD-based convolutional stacked autoencoder. Pattern Anal. Appl. 27 (1) (2024)
Pournamasi Parhi, Ranjeeta Bisoi, Pradipta Kishore Dash
An Integrated Nature-Inspired Algorithm Hybridized Adaptive Broad Learning System for Disease Classification. IEEE Access 11 (2023)
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) (2023)
Snigdha Sarangi, Pradipta Kishore Dash, Ranjeeta Bisoi
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 (2023)
Kanche Anjaiah, Smruti Rekha Pattnaik, P. K. Dash, Ranjeeta Bisoi
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 (2023)
Pournamasi Parhi, Ranjeeta Bisoi, Pradipta Kishore Dash
Influential Gene Selection From High-Dimensional Genomic Data Using a Bio-Inspired Algorithm Wrapped Broad Learning System. IEEE Access 10 (2022)
Debashisa Samal, Pradipta Kishore Dash, Ranjeeta Bisoi
Modified added activation function based exponential robust random vector functional link network with expanded version for nonlinear system identification. Appl. Intell. 52 (5) (2022)
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) (2022)
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 (2021)
Debashisa Samal, P. K. Dash, Ranjeeta Bisoi
Automatic identification of epileptic seizure signal using optimized added kernel support vector machine (OAKSVM). Neural Comput. Appl. 33 (15) (2021)
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) (2020)
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) (2020)
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) (2020)
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) (2019)
Nihar Ranjan Nayak, P. K. Dash, Ranjeeta Bisoi
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition. Int. J. Autom. Comput. 16 (3) (2019)
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 (2019)
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)
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 (2019)
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 (2018)
Ajit Kumar Rout, P. K. Dash, Rajashree Dash, Ranjeeta Bisoi
Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach. J. King Saud Univ. Comput. Inf. Sci. 29 (4) (2017)
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) (2017)
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) (2017)
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) (2016)
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) (2016)
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) (2016)
Rajashree Dash, Pradipta Kishore Dash, Ranjeeta Bisoi
A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction. Int. J. Approx. Reason. 59 (2015)
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) (2015)
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) (2014)
Rajashree Dash, Pradipta Kishore Dash, Ranjeeta Bisoi
A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction. Swarm Evol. Comput. 19 (2014)
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 (2014)
Bijaya N. Biswal, Himansu Sekhar Behera, Ranjeeta Bisoi, Pradipta K. Dash
Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering. Swarm Evol. Comput. 4 (2012)
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) (2011)