default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPradipta Kishore Dash
Pradipta K. Dash – P. K. Dash
Person information
- affiliation: Siksha 'O' Anusandhan University, Bhubaneswar, India
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
