Pradipta Kishore Dash

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Development and implementation of a novel adaptive filter for non-linear dynamic system identification

Badri Narayan Sahu, Pradipta Kishore Dash, 2011, Int. J. Autom. Control..

A hybrid decision tree and new frequency filtering S-transform for simultaneous power signal disturbance pattern recognition

Pradipta Kishore Dash, Ranjeeta Bisoi, P. K. Nayak, 2014, Int. J. Knowl. Based Intell. Eng. Syst..

High impedance fault detection in power distribution networks using time-frequency transform and probabilistic neural network

Bijaya Ketan Panigrahi, Pradipta Kishore Dash, Subhransu Ranjan Samantaray, 2008 .

A hybrid feedback linearization-fuzzy controller for variable reluctance motors

Sanjib Kumar Panda, Pradipta Kishore Dash, C. W. Low, 1995, Proceedings of 1995 International Conference on Power Electronics and Drive Systems. PEDS 95.

A self-tuning optimised unscented Kalman filter for voltage flicker and harmonic estimation

Pradipta Kishore Dash, T. K. Panigrahi, P. K. Hota, 2010 .

Prediction of Financial Time Series Data using Hybrid Evolutionary Legendre Neural Network: Evolutionary LENN

Pradipta Kishore Dash, Rajashree Dash, P. Dash, 2016, Int. J. Appl. Evol. Comput..

Fuzzy and neuro-fuzzy computing models for electric load forecasting

Saifur Rahman, A. C. Liew, Pradipta Kishore Dash, 1995 .

Evolutionary extreme learning machine for energy price forecasting

Sreejit Chakravarty, Pradipta Kishore Dash, P. Mohapatra, 2016, Int. J. Knowl. Based Intell. Eng. Syst..

Field programmable gate array implementation of fuzzy variable step size adaptive linear element for adaptive frequency estimation

Pradipta Kishore Dash, Sarita Nanda, 2017, IET Signal Process..

Efficient Prediction of Stock Market Indices Using Adaptive Neural Network

Pradipta Kishore Dash, Ajit Kumar Rout, Dwiti Krishna Bebarta, 2011, SocProS.

Peak load forecasting using a fuzzy neural network

Saifur Rahman, A. C. Liew, Pradipta Kishore Dash, 1995 .

Detection and classification of islanding and power quality disturbances in microgrid using hybrid signal processing and data mining techniques

Pradipta Kishore Dash, Tatiana Chakravorti, Rajesh Kumar Patnaik, 2018, IET Signal Process..

Finite-time sliding mode power control of grid-connected three-phase photovoltaic array

Pradipta Kishore Dash, Snehamoy Dhar, S. K. Barik, 2015 .

A robust H∞ learning approach to blind separation of signals

Aurobinda Routray, Pradipta Kishore Dash, Niva Das, 2010, Digit. Signal Process..

Efficient stock price prediction using a Self Evolving Recurrent Neuro-Fuzzy Inference System optimized through a Modified technique

Pradipta Kishore Dash, Rajashree Dash, P. Dash, 2016, Expert Syst. Appl..

A Fast Recursive Algorithm for the Estimation of Frequency, Amplitude, and Phase of Noisy Sinusoid

Pradipta Kishore Dash, Shazia Hasan, P. Dash, 2011, IEEE Transactions on Industrial Electronics.

Forecasting foreign exchange rates using hybrid functional link RBF neural network and Levenberg-Marquardt learning algorithm

Pradipta Kishore Dash, Ajit Kumar Rout, P. Dash, 2016, International Journal of Intelligent Decision Technologies.

Power quality time series data mining using S-transform and fuzzy expert system

Pradipta Kishore Dash, Himansu Sekhar Behera, Bijaya N. Biswal, 2010, Appl. Soft Comput..

Reduced polynomial neural swarm net for classification task in data mining

Ganapati Panda, Satchidananda Dehuri, Pradipta Kishore Dash, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

A real-time short-term load forecasting system using functional link network

Saifur Rahman, A. C. Liew, Pradipta Kishore Dash, 1997 .

Pattern recognition based digital relaying for advanced series compensated line

Pradipta Kishore Dash, Subhransu Ranjan Samantaray, S. Samantaray, 2008 .

A hybrid time–frequency approach based fuzzy logic system for power island detection in grid connected distributed generation

Pradipta Kishore Dash, T. K. Panigrahi, Malhar Padhee, 2012 .

Design of a Fuzzy PI Controller for Power System Applications

A. C. Liew, Pradipta Kishore Dash, S. Mishra, 1995, J. Intell. Fuzzy Syst..

WLAN location system: Background theories and future directions pdf

Pradipta Kishore Dash, Debabala Swain, S. P. Panigrahi, 2011, ArXiv.

A functional-link-neural network for short-term electric load forecasting

A. C. Liew, Pradipta Kishore Dash, H. P. Satpathy, 1999, J. Intell. Fuzzy Syst..

Times Series Forecasting using Chebyshev Functions based Locally Recurrent neuro-Fuzzy Information System

Pradipta Kishore Dash, Ranjeeta Bisoi, S. Mishra, 2017, Int. J. Comput. Intell. Syst..

Adaptive fuzzy logic control of a static VAr system

Aurobinda Routray, Sanjib Kumar Panda, Pradipta Kishore Dash, 1996, Proceedings of International Conference on Power Electronics, Drives and Energy Systems for Industrial Growth.

A real-time power quality events recognition using variational mode decomposition and online-sequential extreme learning machine

Debashisa Samal, Mrutyunjaya Sahani, Pradipta Kishore Dash, 2020, Measurement.

Nonstationary power signal time series data classification using LVQ classifier

Pradipta Kishore Dash, Birendra Biswal, Shazia Hasan, 2014, Appl. Soft Comput..

Chapter 25 – MDHS–LPNN: A Hybrid FOREX Predictor Model Using a Legendre Polynomial Neural Network with a Modified Differential Harmony Search Technique

Pradipta Kishore Dash, Rajashree Dash, P. Dash, 2017 .

A PSO based time series data clustering using modified S-transform for data mining

Pradipta Kishore Dash, Ranjeeta Bisoi, 2011, Int. J. Data Min. Model. Manag..

A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction

Pradipta Kishore Dash, Ranjeeta Bisoi, Rajashree Dash, 2015, Int. J. Approx. Reason..

Non-stationary power signal processing for pattern recognition using HS-transform

Bijaya K. Panigrahi, Pradipta Kishore Dash, B. K. Panigrahi, 2009, Appl. Soft Comput..

An integrated H-infinity optimised fuzzy controller for UPFC in multimachine power systems

Pravat Kumar Rout, Pradipta Kishore Dash, 2010 .

Adaptive backstepping sliding mode control of a grid interactive PV-VSC system with LCL filter

Pradipta Kishore Dash, S. Dhar, P. K. Dash, 2016 .

Detection and characterization of multiple power quality disturbances with a fast S-transform and decision tree based classifier

Pradipta Kishore Dash, M. K. Biswal, P. Dash, 2013, Digit. Signal Process..

A fault-tolerant distributed algorithm for termination detection using roughly synchronized clocks

R. C. Hansdah, Pradipta Kishore Dash, 1997, Proceedings 1997 International Conference on Parallel and Distributed Systems.

A Hybrid Computing Adaptive Filtering Methods for Parameter Estimation of Nonstationary Power Signals

Bijaya Ketan Panigrahi, Pradipta Kishore Dash, Birendra Biswal, 2010 .

Comparison of modified teaching–learning-based optimization and extreme learning machine for classification of multiple power signal disturbances

Pradipta Kishore Dash, Ranjeeta Bisoi, P. K. Nayak, 2015, Neural Computing and Applications.

Fault location estimation for series-compensated double-circuit transmission line using EWT and weighted RVFLN

Mrutyunjaya Sahani, Pradipta Kishore Dash, P. Dash, 2020, Eng. Appl. Artif. Intell..

Measurement and Classification of Simultaneous Power Signal Patterns With an S-Transform Variant and Fuzzy Decision Tree

Pradipta Kishore Dash, M. K. Biswal, P. Dash, 2013, IEEE Transactions on Industrial Informatics.

Integrated spline wavelet and Kalman filter approach for power quality monitoring in a power network

Ganapati Panda, Bijaya Ketan Panigrahi, Pradipta Kishore Dash, 2001, 4th IEEE International Conference on Power Electronics and Drive Systems. IEEE PEDS 2001 - Indonesia. Proceedings (Cat. No.01TH8594).

Performance analysis of a new fast negative sequence power injection oriented islanding detection technique for photovoltaic photovoltaic based voltage source converter based micro grid operation

Pradipta Kishore Dash, Snehamoy Dhar, P. Dash, 2015 .

A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices

Sreejit Chakravarty, Pradipta Kishore Dash, P. Dash, 2012, Appl. Soft Comput..

Power Quality Disturbance Classification Using Fuzzy C-Means Algorithm and Adaptive Particle Swarm Optimization

Bijaya K. Panigrahi, Pradipta Kishore Dash, B. K. Panigrahi, 2009, IEEE Transactions on Industrial Electronics.

Multi-kernel-based random vector functional link network with decomposed features for epileptic EEG signal classification

Pradipta Kishore Dash, Ranjeeta Bisoi, Sebamai Parija, 2020, IET Signal Process..

A new approach to time-frequency analysis and pattern recognition of non-stationary power signal disturbances

Bijaya Ketan Panigrahi, Pradipta Kishore Dash, B. K. Biswal, 2006 .

Tracking of non-stationary distorted power signals using complex H∞ filter

Pradipta Kishore Dash, H. K. Sahoo, 2011, Int. J. Autom. Control..

Local linear wavelet neural network for breast cancer recognition

Pradipta Kishore Dash, Manas Ranjan Senapati, Aswini Kumar Mohanty, 2011, Neural Computing and Applications.

A Hybrid Kernel Extreme Learning Machine and Improved Cat Swarm Optimization for Microarray Medical Data Classification

Sreejit Chakravarty, Pradipta Kishore Dash, Ranjeeta Bisoi, 2016, Int. J. Appl. Evol. Comput..

A Fuzzy Logic Based Current Modulator for Torque Ripple Minimization in Switched Reluctance Motors

Sanjib Kumar Panda, Pradipta Kishore Dash, N. C. Sahoo, 1999 .

Time sequence data mining using time-frequency analysis and soft computing techniques

Pradipta Kishore Dash, Ian W. C. Lee, Himansu Sekhar Behera, 2008, Appl. Soft Comput..

Adaptive particle swarm optimisation of unified power flow controller for synchronous generator stabilisation

Bijaya K. Panigrahi, Pradipta Kishore Dash, Pravat K. Rout, 2009, Int. J. Autom. Control..

Dynamic filter weights neural network model integrated with differential evolution for day-ahead price forecasting in energy market

Sreejit Chakravarty, Pradipta Kishore Dash, 2011, Expert Syst. Appl..

Performance validation of battery management system under prediction error for photovoltaic based distribution system

Pradipta Kishore Dash, Snehamoy Dhar, Prachitara Satapathy, 2018 .

A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction

Pradipta Kishore Dash, Ranjeeta Bisoi, Rajashree Dash, 2014, Swarm Evol. Comput..

Application of minimal radial basis function neural network to distance protection

Ganapati Panda, Pradipta Kishore Dash, Ashok Kumar Pradhan, 2001 .

A new cross-differential protection scheme for parallel transmission lines including UPFC

Pradipta Kishore Dash, S. R. Samantaray, Lokanath Tripathy, 2016 .

Data decomposition based fast reduced kernel extreme learning machine for currency exchange rate forecasting and trend analysis

Pradipta Kishore Dash, Ranjeeta Bisoi, P. P. Das, 2018, Expert Syst. Appl..

Apparent Impedance Calculations for Distance-Protected Transmission Lines Employing Series-Connected FACTS Devices

Ganapati Panda, Pradipta Kishore Dash, Ashok Kumar Pradhan, 2001 .

A new approach to monitoring power quality problems in power supply networks

Sanjib Kumar Panda, Pradipta Kishore Dash, A. C. Liew, 1997, Proceedings of Second International Conference on Power Electronics and Drive Systems.

A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter

Pradipta Kishore Dash, Ranjeeta Bisoi, P. Dash, 2014, Appl. Soft Comput..

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

Pradipta Kishore Dash, Ranjeeta Bisoi, Dwiti Krishna Bebarta, 2017, Int. J. Inf. Decis. Sci..

Estimation of time-varying power quality indices with an adaptive window-based fast generalised S-transform

Pradipta Kishore Dash, Milan Biswal, 2012 .

An Evolutionary Functional Link Neural Fuzzy Model for Financial Time Series Forecasting

Bijaya K. Panigrahi, Sreejit Chakravarty, Pradipta Kishore Dash, 2011, Int. J. Appl. Evol. Comput..

A new Taylor-LMS adaptive filter for parameter estimation of power signals including distributed generation systems

Pradipta Kishore Dash, Sarita Nanda, Tatiana Chakravorty, 2016 .

A Fast Gauss-Newton Algorithm for Islanding Detection in Distributed Generation

K. R. Krishnanand, Pradipta Kishore Dash, Pravat K. Rout, 2012, IEEE Transactions on Smart Grid.

Robust Input-Output Linearisation Control of Insulated Gate Bipolar Transistor Based Voltage Source Converters for Stabilisation of High Voltage DC Transmission Link

Pradipta Kishore Dash, Rk Mallick, N Nayak, 2012 .

Non-stationary power signal classification using local linear radial basis function neural networks

Pradipta Kishore Dash, S. Mishra, Bijaya N. Biswal, 2009, Int. J. Knowl. Based Intell. Eng. Syst..

Application of nonlinear control to switched reluctance motors: a feedback linearisation approach

Sanjib Kumar Panda, Pradipta Kishore Dash, 1996 .

Design of a nonlinear variable-gain fuzzy controller for FACTS devices

Pradipta Kishore Dash, Stella Morris, S. Mishra, 2004, IEEE Transactions on Control Systems Technology.

NARX model based nonlinear dynamic system identification using low complexity neural networks and robust H∞ filter

Pradipta Kishore Dash, H. K. Sahoo, N. P. Rath, 2013, Appl. Soft Comput..

Automatic Power Quality Events Recognition Using Modes Decomposition Based Online P-Norm Adaptive Extreme Learning Machine

Mrutyunjaya Sahani, Pradipta Kishore Dash, 2020, IEEE Transactions on Industrial Informatics.

Book Review: Fuzzy Control and Fuzzy Systems. W. Pedrycz, Research Studies Press, Taunton, 1993, 2nd edn, ISBN 0863801315, xviii+350 pp., £45.50.

Pradipta Kishore Dash, A. C. Liew, A. Liew, 1997 .

Hybrid signal processing and machine intelligence techniques for detection, quantification and classification of power quality disturbances

Bijaya K. Panigrahi, Pradipta Kishore Dash, B. K. Panigrahi, 2009, Eng. Appl. Artif. Intell..

Fuzzy and ANN based variable gain PI controllers for STAT COM

Pradipta Kishore Dash, Stella Morris, K. P. Basu, 2005 .

Digital protection of power transmission lines in the presence of series connected FACTS devices

Ganapati Panda, Pradipta Kishore Dash, A. C. Liew, 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

Power signal classification using dynamic wavelet network

Bijaya K. Panigrahi, Pradipta Kishore Dash, B. K. Panigrahi, 2009, Appl. Soft Comput..

A hybrid functional link dynamic neural network and evolutionary unscented Kalman filter for short-term electricity price forecasting

Pradipta Kishore Dash, Sujit Kumar Dash, Ranjeeta Bisoi, 2015, Neural Computing and Applications.

Artificial neural network & pattern recognition approach for narrowband signal extraction

R. Doraiswami, Pradipta Kishore Dash, P. K. Nanda, 1991, Proceedings of the First International Forum on Applications of Neural Networks to Power Systems.

Emerging Signal Processing Techniques for Power Quality Applications

Irene Y. H. Gu, Pradipta Kishore Dash, Alexander V. Mamishev, 2007, EURASIP J. Adv. Signal Process..

Particle Swarm Optimized Polynomials for Data Classification

Pradipta Kishore Dash, Suresh Chandra Satapathy, Bijan Bihari Misra, 2006, Sixth International Conference on Intelligent Systems Design and Applications.

FPGA implementation of adaptive p-norm filter for non-stationary power signal parameter estimation

Pradipta Kishore Dash, Sarita Nanda, Ansuman Pattnaik, 2020 .

A novel feedback linearizing STATCOM controller for power system damping

Ganapati Panda, Pradipta Kishore Dash, N. C. Sahoo, 2006 .

A low rank robust kernel ridge regression classifier for power quality disturbance pattern recognition

Pradipta Kishore Dash, Ranjeeta Bisoi, Nihar Ranjan Nayak, 2020, Int. J. Knowl. Based Intell. Eng. Syst..

A comparison of fuzzy neural networks for the generation of daily average and peak load profiles

Pradipta Kishore Dash, Saifur Rahman, A. C. Leiw, 1995 .

Stock market prediction of S&P 500 and DJIA using Bacterial Foraging Optimization Technique

Ganapati Panda, Debi Prasad Das, Pradipta Kishore Dash, 2007, 2007 IEEE Congress on Evolutionary Computation.

Detection, classification, and location of faults on grid‐connected and islanded AC microgrid

R. K. Patnaik, Pradipta Kishore Dash, Rajesh Kumar Patnaik, 2017 .

Time Frequency Analysis and Non-Stationary Signal Classification using PSO Based Fuzzy C-Means Algorithm

Bijaya Ketan Panigrahi, Pradipta Kishore Dash, Birendra Biswal, 2007 .

A multi-objective wind speed and wind power prediction interval forecasting using variational modes decomposition based Multi-kernel robust ridge regression

Pradipta Kishore Dash, Jyotirmayee Naik, Snehamoy Dhar, 2019, Renewable Energy.

Forecasting stock market indices using hybrid network

Sreejit Chakravarty, Pradipta Kishore Dash, P. Dash, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

A Finite Time Fast Terminal Sliding Mode I–V Control of Grid-Connected PV Array

Pradipta Kishore Dash, Snehmoy Dhar, P. Dash, 2015 .

Time series pattern recognition using s-transform and soft computing

Pradipta Kishore Dash, Ian W. C. Lee, Maya Nayak, 2007, Int. J. Knowl. Based Intell. Eng. Syst..

Nonstationary signal pattern recognition using fast time-time filtering and decision tree

Pradipta Kishore Dash, Milan Biswal, Biswajit Sahu, 2014, J. Intell. Fuzzy Syst..

A fuzzy adaptive correction scheme for short term load forecasting using fuzzy layered neural network

Saifur Rahman, Pradipta Kishore Dash, Sukalyan Dash, 1993, [1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems.

S-transform-based intelligent system for classification of power quality disturbance signals

Pradipta Kishore Dash, Ian W. C. Lee, P. Dash, 2003, IEEE Trans. Ind. Electron..

Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering

Pradipta Kishore Dash, Ranjeeta Bisoi, Himansu Sekhar Behera, 2012, Swarm Evol. Comput..

Power System Protection Using Machine Learning Technique

Ganapati Panda, Pradipta Kishore Dash, Subhransu Ranjan Samantaray, 2010 .

Function based hybrid-fuzzy genetic controller for VSI based STATCOM

Pradipta Kishore Dash, Stella Morris, Pravat K. Rout, 2007, Int. J. Knowl. Based Intell. Eng. Syst..

A CURRENT MODULATION SCHEME FOR DIRECT TORQUE CONTROL OF SWITCHED RELUCTANCE MOTOR USING FUZZY LOGIC

Sanjib Kumar Panda, Pradipta Kishore Dash, N. C. Sahoo, 2000 .

An extended complex Kalman filter for frequency measurement of distorted signals

Ganapati Panda, Aurobinda Routray, Pradipta Kishore Dash, 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

Power quality event characterization using support vector machine and optimization using advanced immune algorithm

Pradipta Kishore Dash, S. Mishra, Bijaya N. Biswal, 2013, Neurocomputing.

Impact of wind farms on disturbance detection and classification in distributed generation using modified Adaline network and an adaptive neuro-fuzzy information system

R. K. Patnaik, Pradipta Kishore Dash, Rajesh Kumar Patnaik, 2015, Appl. Soft Comput..

Design of a Robust Multivariable Controller for an AC-VSC-HVDC System

Pradipta Kishore Dash, R. K. Mallick, A. K. Moharana, 2010 .

Hybrid S-transform and Kalman filtering approach for detection and measurement of short duration disturbances in power networks

Pradipta Kishore Dash, M. V. Chilukuri, P. Dash, 2004, IEEE Transactions on Instrumentation and Measurement.

A real-time short-term peak and average load forecasting system using a self-organising fuzzy neural network

A. C. Liew, Pradipta Kishore Dash, H. P. Satpathy, 1998 .

Distance protection using a time–frequency filtering technique

Pradipta Kishore Dash, Sarat Kumar Swain, 2015 .

A mutated hybrid firefly approach to mitigate dynamic oscillations of second order PLL based PV-battery system for microgrid applications

Pradipta Kishore Dash, Snehamoy Dhar, Prachitara Satapathy, 2016 .

Tracking power quality disturbance waveforms via adaptive linear combiners and fuzzy decision support systems

Sanjib Kumar Panda, Pradipta Kishore Dash, A. C. Liew, 1997, Proceedings of Second International Conference on Power Electronics and Drive Systems.

Efficient Classifier Design with Hybrid Polynomial Neural Network

Ganapati Panda, Pradipta Kishore Dash, Bijan Bihari Misra, 2011, Integration of Swarm Intelligence and Artificial Neural Network.

OPTIMIZED POLYNOMIAL FUZZY SWARM NET FOR CLASSIFICATION

Ganapati Panda, Pradipta Kishore Dash, B. B. Misra, 2010 .

Particle swarm optimized multiple regression linear model for data classification

Ganapati Panda, Pradipta Kishore Dash, P. V. G. D. Prasad Reddy, 2009, Appl. Soft Comput..

Polynomial Based Functional Link Artificial Recurrent Neural Network adaptive System for predicting Indian Stocks

Pradipta Kishore Dash, Dwiti Krishna Bebarta, Birendra Biswal, 2015, Int. J. Comput. Intell. Syst..

Pradipta Kishore Dash, Manas Ranjan Senapati, Ian W. C. Lee, 2007, Eng. Appl. Artif. Intell..

Software technique for a microcomputer-based digital instrumentation scheme using functional expansion

Pradipta Kishore Dash, D. K. Panda, 1985, Microprocess. Microsystems.

FPGA-Based Deep Convolutional Neural Network of Process Adaptive VMD Data With Online Sequential RVFLN for Power Quality Events Recognition

Mrutyunjaya Sahani, Pradipta Kishore Dash, P. Dash, 2021, IEEE Transactions on Power Electronics.

Prediction of financial time series and its volatility using a hybrid dynamic neural network trained by sliding mode algorithm and differential evolution

Pradipta Kishore Dash, Ranjeeta Bisoi, P. Dash, 2015, Int. J. Inf. Decis. Sci..

FPGA-Based Semisupervised Multifusion RDCNN of Process Robust VMD Data With Online Kernel RVFLN for Power Quality Events Recognition.

Mrutyunjaya Sahani, Pradipta Kishore Dash, 2020, IEEE transactions on neural networks and learning systems.

Power System Events Classification using Pattern Recognition Approach

Ganapati Panda, Pradipta Kishore Dash, Subhransu Ranjan Samantaray, 2006 .

Sparse S-transform for location of faults on transmission lines operating with unified power flow controller

Pradipta Kishore Dash, Subhransu Ranjan Samantaray, Loknath Tripathy, 2015 .

Adaptive Non‐Linear Control of UPFC for Stability Enhancement in a Multimachine Power System Operating with a DFIG Based Wind Farm

R. K. Patnaik, Pradipta Kishore Dash, Sangram Keshari Routray, 2017 .

H∞ controller for stability enhancement in VSC HVDC system with parallel AC lines

Pradipta Kishore Dash, Akshaya Moharana, 2009 .

Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression

Pradipta Kishore Dash, Jyotirmayee Naik, Prachitara Satapathy, 2017, Appl. Soft Comput..

Simplified Polynomial Neural Network for classification task in data mining

Ganapati Panda, Pradipta Kishore Dash, Bijan Bihari Misra, 2007, 2007 IEEE Congress on Evolutionary Computation.

Improved ADALINE Based Algorithm for Power System Frequency Estimation

S. Nanda, Pradipta Kishore Dash, Shazia Hasan, 2014, SEMCCO.

Variational mode decomposition and weighted online sequential extreme learning machine for power quality event patterns recognition

Mrutyunjaya Sahani, Pradipta Kishore Dash, P. Dash, 2018, Neurocomputing.

A hybrid FLANN and adaptive differential evolution model for forecasting of stock market indices

Pradipta Kishore Dash, Ajit Kumar Rout, Birendra Biswal, 2014, Int. J. Knowl. Based Intell. Eng. Syst..

Fault Trajectories and Location Estimations for Distance Protection using two New Simplified Phasor Analysers

K. R. Krishnanand, Pradipta Kishore Dash, Jp Patra, 2013 .

A Fuzzy Engineering Approach for Time Series Forecasting of Electric Load

Saifur Rahman, A. C. Liew, Pradipta Kishore Dash, 1995, J. Intell. Fuzzy Syst..

A hybrid ant colony optimization technique for power signal pattern classification

Pradipta Kishore Dash, S. Mishra, Bijaya N. Biswal, 2011, Expert Syst. Appl..

Adaptive threshold based new active islanding protection scheme for multiple PV based microgrid application

Pradipta Kishore Dash, Snehamoy Dhar, P. Dash, 2017 .

Building a fuzzy expert system for electric load forecasting using a hybrid neural network

Saifur Rahman, A. C. Liew, Pradipta Kishore Dash, 1995 .

A signal processing adaptive algorithm for nonstationary power signal parameter estimation

Pradipta Kishore Dash, Sarita Nanda, Shazia Hasan, 2013 .

A New Fast Discrete S-Transform for Power Quality Disturbance Monitoring

Pradipta Kishore Dash, S. Sivanagaraju, Kr Krishnanand, 2013 .

A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition

Pradipta Kishore Dash, R. Bisoi, N. R. Nayak, 2019, Int. J. Autom. Comput..

Adaptive relay setting for flexible AC transmission systems (FACTS)

Ganapati Panda, A. C. Liew, Pradipta Kishore Dash, 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

TT-ACO based power signal classifier

Pradipta Kishore Dash, Birendra Biswal, M. K. Biswal, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

Local linear wavelet neural network based breast tumor classification using firefly algorithm

Pradipta Kishore Dash, Manas Ranjan Senapati, 2012, Neural Computing and Applications.

Distance Protection of Compensated Transmission Line Using Computational Intelligence

Bijaya K. Panigrahi, Ganapati Panda, Pradipta Kishore Dash, 2005, CIS.

Power quality monitoring using an integrated Fourier linear combiner and fuzzy expert system

Magdy M. A. Salama, Pradipta Kishore Dash, R. K. Jena, 1999 .

Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis

Pradipta Kishore Dash, Ranjeeta Bisoi, A. K. Parida, 2019, Appl. Soft Comput..

A new fast discrete S‐transform and decision tree for the classification and monitoring of power quality disturbance waveforms

Pradipta Kishore Dash, S. Sivanagaraju, P. Ramesh Babu, 2014 .

Estimation of power quality indices in distributed generation systems during power islanding conditions

Pradipta Kishore Dash, S. K. Barik, Malhar Padhee, 2012 .

Hybrid Particle Swarm Optimization and Unscented Filtering Technique for Estimation of Non-stationary Signal Parameters

Bijaya Ketan Panigrahi, Pradipta Kishore Dash, B. K. Panigrahi, 2009 .

Stability improvement of PV-BESS diesel generator-based microgrid with a new modified harmony search-based hybrid firefly algorithm

Pradipta Kishore Dash, Snehamoy Dhar, Prachitara Satapathy, 2017 .

Differential current-based fault protection with adaptive threshold for multiple PV-based DC microgrid

Pradipta Kishore Dash, Snehamoy Dhar, P. Dash, 2017 .

Spectral observation of power network signals for digital signal processing

Pradipta Kishore Dash, D. K. Panda, 1984, Microprocess. Microsystems.

Fuzzy and neural controllers for dynamic systems: an overview

Aurobinda Routray, Sanjib Kumar Panda, Pradipta Kishore Dash, 1997, Proceedings of Second International Conference on Power Electronics and Drive Systems.

Fast Tracking of Power Quality Disturbance Signals Using an Optimized Unscented Filter

Pradipta Kishore Dash, J. B. V. Reddy, R. Samantaray, 2009, IEEE Transactions on Instrumentation and Measurement.

Time frequency analysis and power signal disturbance classification using support vector machine and differential evolution algorithm

Pradipta Kishore Dash, Birendra Biswal, S. Mishra, 2012, Int. J. Knowl. Based Intell. Eng. Syst..

Computer aided relay coordination techniques: a survey

Pradipta Kishore Dash, H. P. Khincha, L. Jenkins, 1990 .

A new hybrid firefly optimized P-Q and V-f controller coordination for PV-DG-based microgrid stabilization

Pradipta Kishore Dash, Snehamoy Dhar, Prachitara Satapathy, 2018 .

Evolutionary functional link interval type-2 fuzzy neural system for exchange rate prediction

Sreejit Chakravarty, Pradipta Kishore Dash, 2012, Int. J. Data Min. Model. Manag..

Intelligent energy management in microgrid using prediction errors from uncertain renewable power generation

Pradipta Kishore Dash, Sthita Prajna Mishra, Snehamoy Dhar, 2020 .

Hybrid approach using KPSO and RLS for RBFNN design for breast cancer detection

Ganapati Panda, Pradipta Kishore Dash, Manas Ranjan Senapati, 2012, Neural Computing and Applications.

Multiclass power quality events classification using variational mode decomposition with fast reduced kernel extreme learning machine-based feature selection

Pradipta Kishore Dash, Tatiana Chakravorti, P. Dash, 2018 .

Comparative study of stock market forecasting using different functional link artificial neural networks

Pradipta Kishore Dash, Dwiti Krishna Bebarta, Birendra Biswal, 2012, Int. J. Data Anal. Tech. Strateg..

Non-linear Control of Parallel AC Voltage Source Converter High-Voltage DC System Using a Hybrid Input-output Linearization Evolutionary Fuzzy Controller

Pradipta Kishore Dash, Akshaya Moharana, P. K. Rout, 2010 .

Microarray medical data classification using kernel ridge regression and modified cat swarm optimization based gene selection system

Sreejit Chakravarty, Pradipta Kishore Dash, P. Mohapatra, 2016, Swarm Evol. Comput..

A reduced and comprehensible polynomial neural network for classification

Ganapati Panda, Satchidananda Dehuri, Pradipta Kishore Dash, 2008, Pattern Recognit. Lett..

Deep Convolutional Stack Autoencoder of Process Adaptive VMD Data With Robust Multikernel RVFLN for Power Quality Events Recognition

Mrutyunjaya Sahani, Pradipta Kishore Dash, P. Dash, 2021, IEEE Transactions on Instrumentation and Measurement.

A systematic review on detection and estimation algorithms of EEG signal for epilepsy

Pradipta Kishore Dash, Shazia Hasan, Sebamai Parija, 2021 .

FPGA-based favourite skin colour restoration using improved histogram equalization with variable enhancement degree and ensemble extreme learning machine

Mrutyunjaya Sahani, Pradipta Kishore Dash, Bhanja Kishor Swain, 2020, IET Image Processing.

Automatic identification of epileptic seizure signal using optimized added kernel support vector machine (OAKSVM)

Debashisa Samal, Pradipta Kishore Dash, Ranjeeta Bisoi, 2021, Neural Computing and Applications.

FPGA implementation of epileptic seizure detection using semisupervised reduced deep convolutional neural network

Mrutyunjaya Sahani, Pradipta Kishore Dash, Susanta Kumar Rout, 2021, Appl. Soft Comput..

Real-time Energy Management for PV-battery-wind based microgrid using on-line sequential Kernel Based Robust Random Vector Functional Link Network

Pradipta Kishore Dash, Snehamoy Dhar, Irani Majumder, 2021, Applied Soft Computing.

A systematic review on detection and estimation algorithms of EEG signal for epilepsy

Pradipta Kishore Dash, Shazia Hasan, Sebamai Parija, 2021, Int. J. Medical Eng. Informatics.

Deep long short term memory based minimum variance kernel random vector functional link network for epileptic EEG signal classification

Mrutyunjaya Sahani, Pradipta Kishore Dash, Ranjeeta Bisoi, 2021, Eng. Appl. Artif. Intell..

Multifuse multilayer multikernel RVFLN+ of process modes decomposition and approximate entropy data from iEEG/sEEG signals for epileptic seizure recognition

Mrutyunjaya Sahani, Pradipta Kishore Dash, Pradyut Kumar Biswal, 2021, Comput. Biol. Medicine.

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, 2021, Applied Intelligence.

A constrained least squares algorithm for fast Blind Source Separation in a non-stationary mixing environment

Aurobinda Routray, Pradipta Kishore Dash, Niva Das, 2011, 2011 International Conference on Energy, Automation and Signal.

A quadratic polynomial signal model and fuzzy adaptive filter for frequency and parameter estimation of nonstationary power signals

Pradipta Kishore Dash, Tatiana Chakravorti, Sarita Nanda, 2016 .

Fast recursive Gauss-Newton adaptive filter for the estimation of power system frequency and harmonics in a noisy environment

K. R. Krishnanand, Pradipta Kishore Dash, Malhar Padhee, 2011 .

Intelligent system based on local linear wavelet neural network and recursive least square approach for breast cancer classification

Pradipta Kishore Dash, Manas Ranjan Senapati, M. Senapati, 2011, Artificial Intelligence Review.

Time Frequency Analysis and FPGA Implementation of Modified S- Transform for De-noising

Pradipta Kishore Dash, Birendra Biswal, Milan Biswal, 2011 .

Power quality analysis and classification using a generalized phase corrected wavelet transform

Pradipta Kishore Dash, B. K. Panigrahi, M. V. Chilukuri, 2002 .

A hybrid unscented filtering and particle swarm optimization technique for harmonic analysis of nonstationary signals

Bijaya Ketan Panigrahi, Pradipta Kishore Dash, Shazia Hasan, 2010 .

Multiresolution S-transform-based fuzzy recognition system for power quality events

Pradipta Kishore Dash, M. V. Chilukuri, P. Dash, 2004 .

Computation of power quality symmetrical components using fuzzy logic based linear combiners

Sanjib Kumar Panda, Magdy M. A. Salama, Pradipta Kishore Dash, 1998, Proceedings of EMPD '98. 1998 International Conference on Energy Management and Power Delivery (Cat. No.98EX137).

Estimation of time-varying power quality indices using a computationally efficient algorithm

Pradipta Kishore Dash, Milan Biswal, K R Krishnanand, 2012 .

A new approach to identification of transient power quality problems using linear combiners

Magdy M. A. Salama, Pradipta Kishore Dash, A. C. Liew, 1999 .

An adaptive linear combiner for on-line tracking of power system harmonics

Saifur Rahman, Pradipta Kishore Dash, A. C. Liew, 1996 .

Fast tracking of transient power system signals using fuzzy LMS algorithm

Pradipta Kishore Dash, A. C. Liew, D. P. Swain, 1998 .

Chebyshev polynomial functions based locally recurrent neuro-fuzzy information system for prediction of financial and energy market data

Pradipta Kishore Dash, Ranjeeta Bisoi, A. K. Parida, 2016 .

Dynamic phasor and frequency estimation of time-varying power system signals

R. K. Patnaik, K. R. Krishnanand, Pradipta Kishore Dash, 2013 .

An application of functional dependencies to the topological analysis of protection schemes

Pradipta Kishore Dash, H. P. Khincha, L. Jenkins, 1992 .