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ORCIDPradipta Kishore Dash
Pradipta K. Dash – P. K. Dash
Person information
- affiliation: Siksha 'O' Anusandhan University, Bhubaneswar, India
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2020 – today
- 2024
[j116]Anshuman Satpathy, Snehamoy Dhar
, P. K. Dash, Ranjeeta Bisoi, Niranjan Nayak:
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. Appl. Soft Comput. 166: 112185 (2024)- [j115]Mrutyunjaya Sahani, Sasmita Choudhury, Marif Daula Siddique, Tanmoy Parida, Pradipta Kishore Dash, Sanjib Kumar Panda:
Precise single step and multistep short-term photovoltaic parameters forecasting based on reduced deep convolutional stack autoencoder and minimum variance multikernel random vector functional network. Eng. Appl. Artif. Intell. 136: 108935 (2024) - [j114]Sebamai Parija, Pradipta Kishore Dash, Ranjeeta Bisoi:
Epileptic EEG signal classification using an improved VMD-based convolutional stacked autoencoder. Pattern Anal. Appl. 27(1): 9 (2024) - [j113]Monalisa Mohanty, Pradipta Kishore Dash, Sukanta Sabut:
Decision Support System for Predicting Ventricular Arrhythmias Using Non-linear Features of ECG Signals. SN Comput. Sci. 5(4): 357 (2024) - 2023
- [j112]Pournamasi Parhi, Ranjeeta Bisoi, Pradipta Kishore Dash:
An Integrated Nature-Inspired Algorithm Hybridized Adaptive Broad Learning System for Disease Classification. IEEE Access 11: 31636-31656 (2023) - [j111]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: 110334 (2023) - [j110]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: 107034 (2023) - [j109]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): 403-435 (2023) - 2022
- [j108]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: 49219-49232 (2022) - [j107]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): 5657-5683 (2022) - [j106]Ravi Kumar Jalli, S. P. Mishra, P. K. Dash, Jyotirmayee Naik:
Fault analysis of photovoltaic based DC microgrid using deep learning randomized neural network. Appl. Soft Comput. 126: 109314 (2022) - [j105]Santanu Sahoo, Pradipta K. Dash, S. P. Mishra, Sukanta Sabut:
Deep learning-based system to predict cardiac arrhythmia using hybrid features of transform techniques. Intell. Syst. Appl. 16: 200127 (2022) - [j104]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): 249-269 (2022) - [j103]Subhransu Ranjan Samantaray, Sarita Nanda, P. K. Dash:
A Fast and Adaptive Dynamic Phasor Estimation Algorithm Implemented on Field Programmable Gate Array (FPGA). IEEE Trans. Ind. Electron. 69(2): 2088-2098 (2022) - [j102]Mrutyunjaya Sahani, Pradipta Kishore Dash:
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. 33(2): 515-527 (2022) - 2021
- [j101]Irani Majumder, P. K. Dash, Snehamoy Dhar:
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. 101: 107059 (2021) - [j100]Mrutyunjaya Sahani, Susanta Kumar Rout, Pradipta Kishore Dash:
FPGA implementation of epileptic seizure detection using semisupervised reduced deep convolutional neural network. Appl. Soft Comput. 110: 107639 (2021) - [j99]Susanta Kumar Rout, Mrutyunjaya Sahani, P. K. Dash, Pradyut Kumar Biswal:
Multifuse multilayer multikernel RVFLN+ of process modes decomposition and approximate entropy data from iEEG/sEEG signals for epileptic seizure recognition. Comput. Biol. Medicine 132: 104299 (2021) - [j98]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: 104426 (2021) - [j97]Mrutyunjaya Sahani, Bhanja Kishor Swain, Pradipta Kishore Dash:
FPGA-based favourite skin colour restoration using improved histogram equalization with variable enhancement degree and ensemble extreme learning machine. IET Image Process. 15(6): 1247-1259 (2021) - [j96]Shazia Hasan, Ameya K. Kulkarni, Sebamai Parija, Pradipta Kishore Dash:
A systematic review on detection and estimation algorithms of EEG signal for epilepsy. Int. J. Medical Eng. Informatics 13(2): 143-156 (2021) - [j95]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): 9109-9123 (2021) - [j94]Mrutyunjaya Sahani, Susanta Kumar Rout, Pradipta Kishore Dash:
Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals. IEEE Trans. Biomed. Circuits Syst. 15(3): 595-605 (2021) - [j93]Mrutyunjaya Sahani, Pradipta Kishore Dash:
Deep Convolutional Stack Autoencoder of Process Adaptive VMD Data With Robust Multikernel RVFLN for Power Quality Events Recognition. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - 2020
- [j92]Mrutyunjaya Sahani, P. K. Dash:
Fault location estimation for series-compensated double-circuit transmission line using EWT and weighted RVFLN. Eng. Appl. Artif. Intell. 88 (2020) - [j91]Lipsa Priyadarshini, P. K. Dash, Snehamoy Dhar:
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. 91: 103633 (2020) - [j90]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): 162-174 (2020) - [j89]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): 1457-1480 (2020) - [j88]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): 8011-8029 (2020) - [j87]Mrutyunjaya Sahani, Pradipta Kishore Dash:
Automatic Power Quality Events Recognition Using Modes Decomposition Based Online P-Norm Adaptive Extreme Learning Machine. IEEE Trans. Ind. Informatics 16(7): 4355-4364 (2020) - [i2]Shaktinarayana Mishra, Lokanath Tripathy, Prachitara Satapathy, P. K. Dash, Nitasha Sahani:
An Efficient Machine Learning Approach for Accurate Short Term Solar Power Prediction. CoRR abs/2003.12088 (2020)
2010 – 2019
- 2019
- [j86]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: 652-678 (2019) - [j85]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: 475-493 (2019) - [j84]Mrutyunjaya Sahani, P. K. Dash:
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. 85 (2019) - [j83]Tatiana Chakravorti, Lipsa Priyadarshini, P. K. Dash, Badri Narayan Sahu:
Islanding and non-islanding disturbance detection in microgrid using optimized modes decomposition based robust random vector functional link network. Eng. Appl. Artif. Intell. 85: 122-136 (2019) - [j82]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): 398-412 (2019) - [j81]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): 219-240 (2019) - [j80]S. P. Mishra, P. K. Dash:
Short-term prediction of wind power using a hybrid pseudo-inverse Legendre neural network and adaptive firefly algorithm. Neural Comput. Appl. 31(7): 2243-2268 (2019) - [j79]Mrutyunjaya Sahani, Pradipta Kishore Dash:
FPGA-Based Online Power Quality Disturbances Monitoring Using Reduced-Sample HHT and Class-Specific Weighted RVFLN. IEEE Trans. Ind. Informatics 15(8): 4614-4623 (2019) - [c11]Shaktinarayana Mishra, Prachitara Satapathy, Lokanath Tripathy, Pradipta Kishore Dash:
A VMD Based Extreme Learning Machine Approach for Nonlinear System Identification. ICIT 2019: 143-148 - 2018
- [j78]Jyotirmayee Naik, Prachitara Satapathy, P. K. Dash:
Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression. Appl. Soft Comput. 70: 1167-1188 (2018) - [j77]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: 427-449 (2018) - [j76]Tatiana Chakravorti, Rajesh Kumar Patnaik, Pradipta Kishore Dash:
Detection and classification of islanding and power quality disturbances in microgrid using hybrid signal processing and data mining techniques. IET Signal Process. 12(1): 82-94 (2018) - [j75]S. P. Mishra, P. K. Dash:
Short term wind speed prediction using multiple kernel pseudo inverse neural network. Int. J. Autom. Comput. 15(1): 66-83 (2018) - [j74]Mrutyunjaya Sahani, P. K. Dash:
Variational mode decomposition and weighted online sequential extreme learning machine for power quality event patterns recognition. Neurocomputing 310: 10-27 (2018) - [j73]Mrutyunjaya Sahani, Pradipta Kishore Dash:
Automatic Power Quality Events Recognition Based on Hilbert Huang Transform and Weighted Bidirectional Extreme Learning Machine. IEEE Trans. Ind. Informatics 14(9): 3849-3858 (2018) - [j72]Sarita Nanda, Pradipta Kishore Dash:
A Gauss-Newton ADALINE for Dynamic Phasor Estimation of Power Signals and Its FPGA Implementation. IEEE Trans. Instrum. Meas. 67(1): 45-56 (2018) - [j71]Snehamoy Dhar, Rajesh Kumar Patnaik, P. K. Dash:
Fault Detection and Location of Photovoltaic Based DC Microgrid Using Differential Protection Strategy. IEEE Trans. Smart Grid 9(5): 4303-4312 (2018) - 2017
- [j70]Sarita Nanda, P. K. Dash:
Field programmable gate array implementation of fuzzy variable step size adaptive linear element for adaptive frequency estimation. IET Signal Process. 11(9): 1083-1094 (2017) - [j69]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): 375-393 (2017) - [j68]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): 1-26 (2017) - [j67]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): 536-552 (2017) - 2016
- [j66]Rajashree Dash, P. K. Dash:
An evolutionary hybrid Fuzzy Computationally Efficient EGARCH model for volatility prediction. Appl. Soft Comput. 45: 40-60 (2016) - [j65]Rajashree Dash, Pradipta Kishore Dash:
Efficient stock price prediction using a Self Evolving Recurrent Neuro-Fuzzy Inference System optimized through a Modified technique. Expert Syst. Appl. 52: 75-90 (2016) - [j64]Ajit Kumar Rout, P. K. Dash:
Forecasting foreign exchange rates using hybrid functional link RBF neural network and Levenberg-Marquardt learning algorithm. Intell. Decis. Technol. 10(3): 299-313 (2016) - [j63]Rajashree Dash, Pradipta Kishore Dash:
Prediction of Financial Time Series Data using Hybrid Evolutionary Legendre Neural Network: Evolutionary LENN. Int. J. Appl. Evol. Comput. 7(1): 16-32 (2016) - [j62]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): 71-100 (2016) - [j61]Sreejit Chakravarty, P. Mohapatra, Pradipta Kishore Dash:
Evolutionary extreme learning machine for energy price forecasting. Int. J. Knowl. Based Intell. Eng. Syst. 20(2): 75-96 (2016) - [j60]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): 2107-2122 (2016) - [j59]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): 2123-2140 (2016) - [j58]P. Mohapatra, Sreejit Chakravarty, P. K. Dash:
Microarray medical data classification using kernel ridge regression and modified cat swarm optimization based gene selection system. Swarm Evol. Comput. 28: 144-160 (2016) - 2015
- [j57]Rajesh Kumar Patnaik, P. K. Dash:
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. 30: 549-566 (2015) - [j56]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: 81-104 (2015) - [j55]Dwiti Krishna Bebarta, Birendra Biswal, Pradipta Kishore Dash:
Polynomial Based Functional Link Artificial Recurrent Neural Network adaptive System for predicting Indian Stocks. Int. J. Comput. Intell. Syst. 8(6): 1004-1016 (2015) - [j54]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): 166-191 (2015) - [j53]P. Mohapatra, Sreejit Chakravarty, Pradipta K. Dash:
An improved cuckoo search based extreme learning machine for medical data classification. Swarm Evol. Comput. 24: 25-49 (2015) - 2014
- [j52]Birendra Biswal, Milan Biswal, Shazia Hasan, Pradipta K. Dash:
Nonstationary power signal time series data classification using LVQ classifier. Appl. Soft Comput. 18: 158-166 (2014) - [j51]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: 41-56 (2014) - [j50]Pradipta K. Dash, Badri Narayan Sahu, Milan Biswal:
Nonstationary signal pattern recognition using fast time-time filtering and decision tree. J. Intell. Fuzzy Syst. 27(3): 1361-1373 (2014) - [j49]Ajit Kumar Rout, Birendra Biswal, Pradipta Kishore Dash:
A hybrid FLANN and adaptive differential evolution model for forecasting of stock market indices. Int. J. Knowl. Based Intell. Eng. Syst. 18(1): 23-41 (2014) - [j48]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): 229-245 (2014) - [j47]Manas Ranjan Senapati, Ganapati Panda, Pradipta K. Dash:
Hybrid approach using KPSO and RLS for RBFNN design for breast cancer detection. Neural Comput. Appl. 24(3-4): 745-753 (2014) - [j46]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: 25-42 (2014) - [c10]Sarita Nanda, Shazia Hasan, Bhanja Kishor Swain, P. K. Dash:
Improved ADALINE Based Algorithm for Power System Frequency Estimation. SEMCCO 2014: 868-877 - 2013
- [j45]Manas Ranjan Senapati, Pradipta K. Dash:
Intelligent system based on local linear wavelet neural network and recursive least square approach for breast cancer classification. Artif. Intell. Rev. 39(2): 151-163 (2013) - [j44]Harish Kumar Sahoo, P. K. Dash, Nrusingha Prasad Rath:
NARX model based nonlinear dynamic system identification using low complexity neural networks and robust H∞ filter. Appl. Soft Comput. 13(7): 3324-3334 (2013) - [j43]Milan Biswal, Pradipta K. Dash:
Detection and characterization of multiple power quality disturbances with a fast S-transform and decision tree based classifier. Digit. Signal Process. 23(4): 1071-1083 (2013) - [j42]Bijaya N. Biswal, M. K. Biswal, Pradipta K. Dash, S. Mishra:
Power quality event characterization using support vector machine and optimization using advanced immune algorithm. Neurocomputing 103: 75-86 (2013) - [j41]Manas Ranjan Senapati, Aswini Kumar Mohanty, Sonali Dash, Pradipta K. Dash:
Local linear wavelet neural network for breast cancer recognition. Neural Comput. Appl. 22(1): 125-131 (2013) - [j40]Manas Ranjan Senapati, Pradipta K. Dash:
Local linear wavelet neural network based breast tumor classification using firefly algorithm. Neural Comput. Appl. 22(7-8): 1591-1598 (2013) - [j39]Milan Biswal, Pradipta K. Dash:
Measurement and Classification of Simultaneous Power Signal Patterns With an S-Transform Variant and Fuzzy Decision Tree. IEEE Trans. Ind. Informatics 9(4): 1819-1827 (2013) - 2012
- [j38]Sreejit Chakravarty, Pradipta K. Dash:
A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices. Appl. Soft Comput. 12(2): 931-941 (2012) - [j37]Dwiti Krishna Bebarta, Birendra Biswal, Pradipta K. Dash:
Comparative study of stock market forecasting using different functional link artificial neural networks. Int. J. Data Anal. Tech. Strateg. 4(4): 398-427 (2012) - [j36]Sreejit Chakravarty, Pradipta K. Dash:
Evolutionary functional link interval type-2 fuzzy neural system for exchange rate prediction. Int. J. Data Min. Model. Manag. 4(4): 384-412 (2012) - [j35]Birendra Biswal, M. K. Biswal, Pradipta K. Dash, S. Mishra:
Time frequency analysis and power signal disturbance classification using support vector machine and differential evolution algorithm. Int. J. Knowl. Based Intell. Eng. Syst. 16(3): 199-214 (2012) - [j34]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: 12-24 (2012) - [j33]Malhar Padhee, Pradipta K. Dash, K. R. Krishnanand, Pravat K. Rout:
A Fast Gauss-Newton Algorithm for Islanding Detection in Distributed Generation. IEEE Trans. Smart Grid 3(3): 1181-1191 (2012) - 2011
- [j32]Bijaya N. Biswal, Pradipta K. Dash, S. Mishra:
A hybrid ant colony optimization technique for power signal pattern classification. Expert Syst. Appl. 38(5): 6368-6375 (2011) - [j31]Sreejit Chakravarty, Pradipta K. Dash:
Dynamic filter weights neural network model integrated with differential evolution for day-ahead price forecasting in energy market. Expert Syst. Appl. 38(9): 10974-10982 (2011) - [j30]Harish Kumar Sahoo, P. K. Dash:
Tracking of non-stationary distorted power signals using complex H∞ filter. Int. J. Autom. Control. 5(1): 22-43 (2011) - [j29]Badri Narayan Sahu, Pradipta K. Dash:
Development and implementation of a novel adaptive filter for non-linear dynamic system identification. Int. J. Autom. Control. 5(2): 171-188 (2011) - [j28]Sreejit Chakravarty, Pradipta K. Dash, V. Ravikumar Pandi, Bijaya K. Panigrahi:
An Evolutionary Functional Link Neural Fuzzy Model for Financial Time Series Forecasting. Int. J. Appl. Evol. Comput. 2(3): 39-58 (2011) - [j27]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): 277-302 (2011) - [j26]P. K. Dash, Shazia Hasan:
A Fast Recursive Algorithm for the Estimation of Frequency, Amplitude, and Phase of Noisy Sinusoid. IEEE Trans. Ind. Electron. 58(10): 4847-4856 (2011) - [c9]Dwiti Krishna Bebarta, Ajit Kumar Rout, Bijaya N. Biswal, Pradipta K. Dash:
Efficient Prediction of Stock Market Indices Using Adaptive Neural Network. SocProS (2) 2011: 287-294 - [p1]Bijan Bihari Misra, Pradipta Kishore Dash, Ganapati Panda:
Efficient Classifier Design with Hybrid Polynomial Neural Network. Integration of Swarm Intelligence and Artificial Neural Network 2011: 179-212 - [i1]Debabala Swain, S. P. Panigrahi, S. K. Routray, P. K. Dash, R. R. Mohanty, S. K. Dash:
WLAN location system: Background theories and future directions. CoRR abs/1107.4850 (2011) - 2010
- [j25]Himansu Sekhar Behera, Pradipta K. Dash, Bijaya N. Biswal:
Power quality time series data mining using S-transform and fuzzy expert system. Appl. Soft Comput. 10(3): 945-955 (2010) - [j24]Niva Das, Aurobinda Routray, Pradipta Kishore Dash:
A robust H∞ learning approach to blind separation of signals. Digit. Signal Process. 20(2): 410-416 (2010)
2000 – 2009
- 2009
- [j23]Bijaya N. Biswal, Pradipta K. Dash, Bijaya K. Panigrahi:
Non-stationary power signal processing for pattern recognition using HS-transform. Appl. Soft Comput. 9(1): 107-117 (2009) - [j22]Bijaya N. Biswal, Pradipta K. Dash, Bijaya K. Panigrahi, J. B. V. Reddy:
Power signal classification using dynamic wavelet network. Appl. Soft Comput. 9(1): 118-125 (2009) - [j21]Suresh Chandra Satapathy, J. V. R. Murthy, P. V. G. D. Prasad Reddy, Bijan Bihari Misra, Pradipta K. Dash, Ganapati Panda:
Particle swarm optimized multiple regression linear model for data classification. Appl. Soft Comput. 9(2): 470-476 (2009) - [j20]Bijaya K. Panigrahi, Pradipta K. Dash, J. B. V. Reddy:
Hybrid signal processing and machine intelligence techniques for detection, quantification and classification of power quality disturbances. Eng. Appl. Artif. Intell. 22(3): 442-454 (2009) - [j19]Pradipta K. Dash, Pravat K. Rout, Bijaya K. Panigrahi, M. H. Naeem:
Adaptive particle swarm optimisation of unified power flow controller for synchronous generator stabilisation. Int. J. Autom. Control. 3(1): 91-109 (2009) - [j18]Bijaya N. Biswal, Pradipta K. Dash, S. Mishra:
Non-stationary power signal classification using local linear radial basis function neural networks. Int. J. Knowl. Based Intell. Eng. Syst. 13(2): 79-90 (2009) - [j17]Birendra Biswal, Pradipta K. Dash, Bijaya K. Panigrahi:
Power Quality Disturbance Classification Using Fuzzy C-Means Algorithm and Adaptive Particle Swarm Optimization. IEEE Trans. Ind. Electron. 56(1): 212-220 (2009) - [j16]J. B. V. Reddy, Pradipta K. Dash, R. Samantaray, Alexander K. Moharana:
Fast Tracking of Power Quality Disturbance Signals Using an Optimized Unscented Filter. IEEE Trans. Instrum. Meas. 58(12): 3943-3952 (2009) - [c8]Birendra Biswal, M. K. Biswal, Pradipta K. Dash, Milan V. Nageswara Rao:
TT-ACO based Power Signal Classifier. NaBIC 2009: 1195-1200 - [c7]Sreejit Chakravarty, Pradipta K. Dash:
Forecasting Stock Market Indices using Hybrid Network. NaBIC 2009: 1225-1230 - 2008
- [j15]Pradipta K. Dash, Himansu Sekhar Behera, Ian W. C. Lee:
Time sequence data mining using time-frequency analysis and soft computing techniques. Appl. Soft Comput. 8(1): 202-215 (2008) - [j14]Bijan Bihari Misra, Satchidananda Dehuri, Pradipta K. Dash, Ganapati Panda:
A reduced and comprehensible polynomial neural network for classification. Pattern Recognit. Lett. 29(12): 1705-1712 (2008) - [c6]Bijan Bihari Misra, Satchidananda Dehuri, Pradipta K. Dash, Ganapati Panda:
Reduced polynomial neural swarm net for classification task in data mining. IEEE Congress on Evolutionary Computation 2008: 2298-2306 - 2007
- [j13]Pradipta K. Dash, Maya Nayak, Manas Ranjan Senapati, Ian W. C. Lee:
Mining for similarities in time series data using wavelet-based feature vectors and neural networks. Eng. Appl. Artif. Intell. 20(2): 185-201 (2007) - [j12]Moisés Vidal Ribeiro, Jacques Szczupak, M. Reza Iravani, Irene Y. H. Gu, Pradipta Kishore Dash, Alexander V. Mamishev:
Emerging Signal Processing Techniques for Power Quality Applications. EURASIP J. Adv. Signal Process. 2007 (2007) - [j11]Stella Morris, Pradipta K. Dash, Pravat K. Rout:
Function based hybrid-fuzzy genetic controller for VSI based STATCOM. Int. J. Knowl. Based Intell. Eng. Syst. 11(3): 139-156 (2007) - [j10]Pradipta K. Dash, Maya Nayak, Ian W. C. Lee:
Time series pattern recognition using s-transform and soft computing. Int. J. Knowl. Based Intell. Eng. Syst. 11(6): 355-370 (2007) - [c5]Bijan Bihari Misra, Bijaya N. Biswal, Pradipta K. Dash, Ganapati Panda:
Simplified Polynomial Neural Network for classification task in data mining. IEEE Congress on Evolutionary Computation 2007: 721-728 - [c4]Ritanjali Majhi, Ganapati Panda, Gadadhar Sahoo, Pradipta K. Dash, Debi Prasad Das:
Stock market prediction of S&P 500 and DJIA using Bacterial Foraging Optimization Technique. IEEE Congress on Evolutionary Computation 2007: 2569-2575 - 2006
- [c3]Bijan Bihari Misra, Suresh Chandra Satapathy, Pradipta K. Dash:
Particle Swarm Optimized Polynomials for Data Classification. ISDA (1) 2006: 649-654 - 2005
- [c2]S. R. Samantaray, Pradipta K. Dash, Ganapati Panda, Bijaya K. Panigrahi:
Distance Protection of Compensated Transmission Line Using Computational Intelligence. CIS (1) 2005: 163-169 - 2004
- [j9]Pradipta K. Dash, Stella Morris, S. Mishra:
Design of a nonlinear variable-gain fuzzy controller for FACTS devices. IEEE Trans. Control. Syst. Technol. 12(3): 428-438 (2004) - [j8]P. K. Dash, M. V. Chilukuri:
Hybrid S-transform and Kalman filtering approach for detection and measurement of short duration disturbances in power networks. IEEE Trans. Instrum. Meas. 53(2): 588-596 (2004) - 2003
- [j7]Ian W. C. Lee, Pradipta K. Dash:
S-transform-based intelligent system for classification of power quality disturbance signals. IEEE Trans. Ind. Electron. 50(4): 800-805 (2003) - 2000
- [j6]Pradipta Kishore Dash, R. K. Jena, Ganapati Panda, Aurobinda Routray:
An extended complex Kalman filter for frequency measurement of distorted signals. IEEE Trans. Instrum. Meas. 49(4): 746-753 (2000)
1990 – 1999
- 1999
- [j5]Pradipta K. Dash, A. C. Liew, Hara P. Satpathy:
A functional-link-neural network for short-term electric load forecasting. J. Intell. Fuzzy Syst. 7(3): 209-221 (1999) - 1997
- [c1]Pradipta K. Dash, R. C. Hansdah:
A Fault-Tolerant Distributed Algorithm for Termination Detection Using Roughly Synchronized Clocks. ICPADS 1997: 736-743 - 1995
- [j4]Pradipta K. Dash, S. Mishra, A. C. Liew:
Design of a Fuzzy PI Controller for Power System Applications. J. Intell. Fuzzy Syst. 3(2): 155-163 (1995) - [j3]Pradipta K. Dash, S. Dash, A. C. Liew, Saifur Rahman:
A Fuzzy Engineering Approach for Time Series Forecasting of Electric Load. J. Intell. Fuzzy Syst. 3(4): 261-271 (1995)
1980 – 1989
- 1985
- [j2]Pradipta Kishore Dash, D. K. Panda:
Software technique for a microcomputer-based digital instrumentation scheme using functional expansion. Microprocess. Microsystems 9(5): 218-225 (1985) - 1984
- [j1]Pradipta Kishore Dash, D. K. Panda:
Spectral observation of power network signals for digital signal processing. Microprocess. Microsystems 8(9): 475-480 (1984)
Coauthor Index
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