Pradipta Kishore Dash
Orcid: 0000-0002-8950-7136Affiliations:
- Siksha 'O' Anusandhan University, Bhubaneswar, India
According to our database1,
Pradipta Kishore Dash
authored at least 126 papers
between 1984 and 2024.
Collaborative distances:
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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
FPGA-Based Semisupervised Multifusion RDCNN of Process Robust VMD Data With Online Kernel RVFLN for Power Quality Events Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2022
A Fast and Adaptive Dynamic Phasor Estimation Algorithm Implemented on Field Programmable Gate Array (FPGA).
IEEE Trans. Ind. Electron., 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
Deep learning-based system to predict cardiac arrhythmia using hybrid features of transform techniques.
Intell. Syst. Appl., 2022
Fault analysis of photovoltaic based DC microgrid using deep learning randomized neural network.
Appl. Soft Comput., 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
Deep Convolutional Stack Autoencoder of Process Adaptive VMD Data With Robust Multikernel RVFLN for Power Quality Events Recognition.
IEEE Trans. Instrum. Meas., 2021
Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals.
IEEE Trans. Biomed. Circuits Syst., 2021
Automatic identification of epileptic seizure signal using optimized added kernel support vector machine (OAKSVM).
Neural Comput. Appl., 2021
A systematic review on detection and estimation algorithms of EEG signal for epilepsy.
Int. J. Medical Eng. Informatics, 2021
FPGA-based favourite skin colour restoration using improved histogram equalization with variable enhancement degree and ensemble extreme learning machine.
IET Image Process., 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
Multifuse multilayer multikernel RVFLN+ of process modes decomposition and approximate entropy data from iEEG/sEEG signals for epileptic seizure recognition.
Comput. Biol. Medicine, 2021
FPGA implementation of epileptic seizure detection using semisupervised reduced deep convolutional neural network.
Appl. Soft Comput., 2021
Real-time Energy Management for PV-battery-wind based microgrid using on-line sequential Kernel Based Robust Random Vector Functional Link Network.
Appl. Soft Comput., 2021
2020
Automatic Power Quality Events Recognition Using Modes Decomposition Based Online P-Norm Adaptive Extreme Learning Machine.
IEEE Trans. Ind. Informatics, 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
Fault location estimation for series-compensated double-circuit transmission line using EWT and weighted RVFLN.
Eng. Appl. Artif. Intell., 2020
A new Exponentially Expanded Robust Random Vector Functional Link Network based MPPT model for Local Energy Management of PV-Battery Energy Storage Integrated Microgrid.
Eng. Appl. Artif. Intell., 2020
An Efficient Machine Learning Approach for Accurate Short Term Solar Power Prediction.
CoRR, 2020
2019
FPGA-Based Online Power Quality Disturbances Monitoring Using Reduced-Sample HHT and Class-Specific Weighted RVFLN.
IEEE Trans. Ind. Informatics, 2019
Short-term prediction of wind power using a hybrid pseudo-inverse Legendre neural network and adaptive firefly algorithm.
Neural Comput. Appl., 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
Islanding and non-islanding disturbance detection in microgrid using optimized modes decomposition based robust random vector functional link network.
Eng. Appl. Artif. Intell., 2019
Fault location estimation for series-compensated double-circuit transmission line using parameter optimized variational mode decomposition and weighted P-norm random vector functional link network.
Appl. Soft 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
Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019
2018
Fault Detection and Location of Photovoltaic Based DC Microgrid Using Differential Protection Strategy.
IEEE Trans. Smart Grid, 2018
A Gauss-Newton ADALINE for Dynamic Phasor Estimation of Power Signals and Its FPGA Implementation.
IEEE Trans. Instrum. Meas., 2018
Automatic Power Quality Events Recognition Based on Hilbert Huang Transform and Weighted Bidirectional Extreme Learning Machine.
IEEE Trans. Ind. Informatics, 2018
Variational mode decomposition and weighted online sequential extreme learning machine for power quality event patterns recognition.
Neurocomputing, 2018
Short term wind speed prediction using multiple kernel pseudo inverse neural network.
Int. J. Autom. Comput., 2018
Detection and classification of islanding and power quality disturbances in microgrid using hybrid signal processing and data mining techniques.
IET Signal Process., 2018
Data decomposition based fast reduced kernel extreme learning machine for currency exchange rate forecasting and trend analysis.
Expert Syst. Appl., 2018
Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression.
Appl. Soft Comput., 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
Field programmable gate array implementation of fuzzy variable step size adaptive linear element for adaptive frequency estimation.
IET Signal Process., 2017
2016
Microarray medical data classification using kernel ridge regression and modified cat swarm optimization based gene selection system.
Swarm Evol. Comput., 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
Int. J. Knowl. Based Intell. Eng. Syst., 2016
Prediction of Financial Time Series Data using Hybrid Evolutionary Legendre Neural Network: Evolutionary LENN.
Int. J. Appl. Evol. Comput., 2016
A Hybrid Kernel Extreme Learning Machine and Improved Cat Swarm Optimization for Microarray Medical Data Classification.
Int. J. Appl. Evol. Comput., 2016
Forecasting foreign exchange rates using hybrid functional link RBF neural network and Levenberg-Marquardt learning algorithm.
Intell. Decis. Technol., 2016
Efficient stock price prediction using a Self Evolving Recurrent Neuro-Fuzzy Inference System optimized through a Modified technique.
Expert Syst. Appl., 2016
An evolutionary hybrid Fuzzy Computationally Efficient EGARCH model for volatility prediction.
Appl. Soft Comput., 2016
2015
An improved cuckoo search based extreme learning machine for medical data classification.
Swarm Evol. Comput., 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
Polynomial Based Functional Link Artificial Recurrent Neural Network adaptive System for predicting Indian Stocks.
Int. J. Comput. Intell. Syst., 2015
A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction.
Int. J. Approx. Reason., 2015
Impact of wind farms on disturbance detection and classification in distributed generation using modified Adaline network and an adaptive neuro-fuzzy information system.
Appl. Soft Comput., 2015
2014
A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction.
Swarm Evol. Comput., 2014
Neural Comput. Appl., 2014
A hybrid FLANN and adaptive differential evolution model for forecasting of stock market indices.
Int. J. Knowl. Based Intell. Eng. Syst., 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
Nonstationary signal pattern recognition using fast time-time filtering and decision tree.
J. Intell. Fuzzy Syst., 2014
Appl. Soft Comput., 2014
A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter.
Appl. Soft Comput., 2014
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014
2013
Measurement and Classification of Simultaneous Power Signal Patterns With an S-Transform Variant and Fuzzy Decision Tree.
IEEE Trans. Ind. Informatics, 2013
Neural Comput. Appl., 2013
Local linear wavelet neural network based breast tumor classification using firefly algorithm.
Neural Comput. Appl., 2013
Power quality event characterization using support vector machine and optimization using advanced immune algorithm.
Neurocomputing, 2013
Detection and characterization of multiple power quality disturbances with a fast S-transform and decision tree based classifier.
Digit. Signal Process., 2013
NARX model based nonlinear dynamic system identification using low complexity neural networks and robust H<sub>∞</sub> filter.
Appl. Soft Comput., 2013
Intelligent system based on local linear wavelet neural network and recursive least square approach for breast cancer classification.
Artif. Intell. Rev., 2013
2012
IEEE Trans. Smart Grid, 2012
Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering.
Swarm Evol. Comput., 2012
Time frequency analysis and power signal disturbance classification using support vector machine and differential evolution algorithm.
Int. J. Knowl. Based Intell. Eng. Syst., 2012
Evolutionary functional link interval type-2 fuzzy neural system for exchange rate prediction.
Int. J. Data Min. Model. Manag., 2012
Comparative study of stock market forecasting using different functional link artificial neural networks.
Int. J. Data Anal. Tech. Strateg., 2012
A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices.
Appl. Soft Comput., 2012
2011
Proceedings of the Integration of Swarm Intelligence and Artificial Neural Network, 2011
A Fast Recursive Algorithm for the Estimation of Frequency, Amplitude, and Phase of Noisy Sinusoid.
IEEE Trans. Ind. Electron., 2011
Int. J. Data Min. Model. Manag., 2011
An Evolutionary Functional Link Neural Fuzzy Model for Financial Time Series Forecasting.
Int. J. Appl. Evol. Comput., 2011
Development and implementation of a novel adaptive filter for non-linear dynamic system identification.
Int. J. Autom. Control., 2011
Tracking of non-stationary distorted power signals using complex H<sub>∞</sub> filter.
Int. J. Autom. Control., 2011
Dynamic filter weights neural network model integrated with differential evolution for day-ahead price forecasting in energy market.
Expert Syst. Appl., 2011
Expert Syst. Appl., 2011
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011
2010
Digit. Signal Process., 2010
Appl. Soft Comput., 2010
2009
Fast Tracking of Power Quality Disturbance Signals Using an Optimized Unscented Filter.
IEEE Trans. Instrum. Meas., 2009
Power Quality Disturbance Classification Using Fuzzy C-Means Algorithm and Adaptive Particle Swarm Optimization.
IEEE Trans. Ind. Electron., 2009
Non-stationary power signal classification using local linear radial basis function neural networks.
Int. J. Knowl. Based Intell. Eng. Syst., 2009
Adaptive particle swarm optimisation of unified power flow controller for synchronous generator stabilisation.
Int. J. Autom. Control., 2009
Hybrid signal processing and machine intelligence techniques for detection, quantification and classification of power quality disturbances.
Eng. Appl. Artif. Intell., 2009
Appl. Soft Comput., 2009
Appl. Soft Comput., 2009
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
2008
Pattern Recognit. Lett., 2008
Time sequence data mining using time-frequency analysis and soft computing techniques.
Appl. Soft Comput., 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Int. J. Knowl. Based Intell. Eng. Syst., 2007
Int. J. Knowl. Based Intell. Eng. Syst., 2007
EURASIP J. Adv. Signal Process., 2007
Mining for similarities in time series data using wavelet-based feature vectors and neural networks.
Eng. Appl. Artif. Intell., 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Stock market prediction of S&P 500 and DJIA using Bacterial Foraging Optimization Technique.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006
2005
Distance Protection of Compensated Transmission Line Using Computational Intelligence.
Proceedings of the Computational Intelligence and Security, International Conference, 2005
2004
Hybrid S-transform and Kalman filtering approach for detection and measurement of short duration disturbances in power networks.
IEEE Trans. Instrum. Meas., 2004
IEEE Trans. Control. Syst. Technol., 2004
2003
S-transform-based intelligent system for classification of power quality disturbance signals.
IEEE Trans. Ind. Electron., 2003
2000
IEEE Trans. Instrum. Meas., 2000
1999
J. Intell. Fuzzy Syst., 1999
1997
A Fault-Tolerant Distributed Algorithm for Termination Detection Using Roughly Synchronized Clocks.
Proceedings of the 1997 International Conference on Parallel and Distributed Systems (ICPADS '97), 1997
1995
J. Intell. Fuzzy Syst., 1995
J. Intell. Fuzzy Syst., 1995
1985
Software technique for a microcomputer-based digital instrumentation scheme using functional expansion.
Microprocess. Microsystems, 1985
1984
Microprocess. Microsystems, 1984