A PSO based time series data clustering using modified S-transform for data mining. - Ranjeeta Bisoi; Pradipta K. Dash (Int. J. Data Min. Model. Manag., 2011)

Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering. - Bijaya N. Biswal; Himansu Sekhar Behera; Ranjeeta Bisoi; Pradipta K. Dash (Swarm Evol. Comput., 2012)

A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter. - Ranjeeta Bisoi; Pradipta K. Dash (Appl. Soft Comput., 2014)

A hybrid decision tree and new frequency filtering S-transform for simultaneous power signal disturbance pattern recognition. - Ranjeeta Bisoi; Pradipta Kishore Dash; P. K. Nayak (Int. J. Knowl. Based Intell. Eng. Syst., 2014)

A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction. - Rajashree Dash; Pradipta Kishore Dash; Ranjeeta Bisoi (Swarm Evol. Comput., 2014)

A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction. - Rajashree Dash; Pradipta Kishore Dash; Ranjeeta Bisoi (Int. J. Approx. Reason., 2015)

Prediction of financial time series and its volatility using a hybrid dynamic neural network trained by sliding mode algorithm and differential evolution. - Ranjeeta Bisoi; Pradipta Kishore Dash (Int. J. Inf. Decis. Sci., 2015)

A Hybrid Kernel Extreme Learning Machine and Improved Cat Swarm Optimization for Microarray Medical Data Classification. - Sreejit Chakravarty; Ranjeeta Bisoi; P. K. Dash (Int. J. Appl. Evol. Comput., 2016)

A hybrid functional link dynamic neural network and evolutionary unscented Kalman filter for short-term electricity price forecasting. - Sujit Kumar Dash; Ranjeeta Bisoi; P. K. Dash (Neural Comput. Appl., 2016)

Comparison of modified teaching-learning-based optimization and extreme learning machine for classification of multiple power signal disturbances. - P. K. Nayak; S. Mishra; P. K. Dash; Ranjeeta Bisoi (Neural Comput. Appl., 2016)

Times Series Forecasting using Chebyshev Functions based Locally Recurrent neuro-Fuzzy Information System. - A. K. Parida; Ranjeeta Bisoi; P. K. Dash; S. Mishra (Int. J. Comput. Intell. Syst., 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. - Dwiti Krishna Bebarta; Ranjeeta Bisoi; P. K. Dash (Int. J. Inf. Decis. Sci., 2017)

Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach. - Ajit Kumar Rout; P. K. Dash; Rajashree Dash; Ranjeeta Bisoi (J. King Saud Univ. Comput. Inf. Sci., 2017)

Data decomposition based fast reduced kernel extreme learning machine for currency exchange rate forecasting and trend analysis. - Pragyan P. Das; Ranjeeta Bisoi; P. K. Dash (Expert Syst. Appl., 2018)

A Hybridized Adaptive Fruit Fly Optimization Based Online Sequential Extreme Learning Machine for Bio-Medical Data Classification. - Pournamasi Parhi; Ranjeeta Bisoi; Prachitara Satapathy (ICIT, 2019)

Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting. - Ranjeeta Bisoi; P. K. Dash; S. Mishra (Appl. Soft Comput., 2019)

Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis. - Ranjeeta Bisoi; P. K. Dash; A. K. Parida (Appl. Soft Comput., 2019)

A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition. - Nihar Ranjan Nayak; P. K. Dash; Ranjeeta Bisoi (Int. J. Autom. Comput., 2019)

A low rank robust kernel ridge regression classifier for power quality disturbance pattern recognition. - Nihar Ranjan Nayak; Ranjeeta Bisoi; P. K. Dash (Int. J. Knowl. Based Intell. Eng. Syst., 2019)

Multi-kernel-based random vector functional link network with decomposed features for epileptic EEG signal classification. - Sebamai Parija; Pradipta Kishore Dash; Ranjeeta Bisoi (IET Signal Process., 2020)

Short-term electricity price forecasting and classification in smart grids using optimized multikernel extreme learning machine. - Ranjeeta Bisoi; P. K. Dash; Pragyan P. Das (Neural Comput. Appl., 2020)

Short-term solar power prediction using multi-kernel-based random vector functional link with water cycle algorithm-based parameter optimization. - Irani Majumder; P. K. Dash; Ranjeeta Bisoi (Neural Comput. Appl., 2020)

Deep long short term memory based minimum variance kernel random vector functional link network for epileptic EEG signal classification. - Sebamai Parija; Ranjeeta Bisoi; P. K. Dash; Mrutyunjaya Sahani (Eng. Appl. Artif. Intell., 2021)

Automatic identification of epileptic seizure signal using optimized added kernel support vector machine (OAKSVM). - Debashisa Samal; P. K. Dash; Ranjeeta Bisoi (Neural Comput. Appl., 2021)

Influential Gene Selection From High-Dimensional Genomic Data Using a Bio-Inspired Algorithm Wrapped Broad Learning System. - Pournamasi Parhi; Ranjeeta Bisoi; Pradipta Kishore Dash (IEEE Access, 2022)

Modified added activation function based exponential robust random vector functional link network with expanded version for nonlinear system identification. - Debashisa Samal; Pradipta Kishore Dash; Ranjeeta Bisoi (Appl. Intell., 2022)

Hybrid modified weighted water cycle algorithm and Deep Analytic Network for forecasting and trend detection of forex market indices. - Ranjeeta Bisoi; Pournamasi Parhi; P. K. Dash (Int. J. Knowl. Based Intell. Eng. Syst., 2022)

An Integrated Nature-Inspired Algorithm Hybridized Adaptive Broad Learning System for Disease Classification. - Pournamasi Parhi; Ranjeeta Bisoi; Pradipta Kishore Dash (IEEE Access, 2023)

A real-time DC faults diagnosis in a DC ring microgrid by using derivative current based optimal weighted broad learning system. - Kanche Anjaiah; Smruti Rekha Pattnaik; P. K. Dash; Ranjeeta Bisoi (Appl. Soft Comput., 2023)

Autoencoder-based improved deep learning approach for schizophrenic EEG signal classification. - Sebamai Parija; Mrutyunjaya Sahani; Ranjeeta Bisoi; P. K. Dash (Pattern Anal. Appl., 2023)

Probabilistic prediction of wind speed using an integrated deep belief network optimized by a hybrid multi-objective particle swarm algorithm. - Snigdha Sarangi; Pradipta Kishore Dash; Ranjeeta Bisoi (Eng. Appl. Artif. Intell., 2023)

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. - Anshuman Satpathy; Snehamoy Dhar; P. K. Dash; Ranjeeta Bisoi; Niranjan Nayak (Appl. Soft Comput., 2024)

Epileptic EEG signal classification using an improved VMD-based convolutional stacked autoencoder. - Sebamai Parija; Pradipta Kishore Dash; Ranjeeta Bisoi (Pattern Anal. Appl., 2024)

Short-term forecasting of electricity price using ensemble deep kernel based random vector functional link network. - Someswari Perla; Ranjeeta Bisoi; P. K. Dash; Ajit Kumar Rout (Appl. Soft Comput., 2025)

Solar Irradiance Forecasting using Hybrid Long-Short-Term-Memory based Recurrent Ensemble Deep Random Vector Functional Link Network. - Smruti Rekha Pattnaik; Ranjeeta Bisoi; P. K. Dash (Comput. Electr. Eng., 2025)