Pradipta Kishore Dash

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 23

Top Topics

Histogram Equalization

Extreme Learning Machine

Top Venues

Int. J. Knowl. Based Intell. Eng. Syst.

IEEE Trans. Ind. Informatics

IEEE Trans. Instrum. Meas.

IET Signal Process.

Publications

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 (2024)
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) (2024)
Sebamai Parija, Pradipta Kishore Dash, Ranjeeta Bisoi
Epileptic EEG signal classification using an improved VMD-based convolutional stacked autoencoder. Pattern Anal. Appl. 27 (1) (2024)
Pournamasi Parhi, Ranjeeta Bisoi, Pradipta Kishore Dash
An Integrated Nature-Inspired Algorithm Hybridized Adaptive Broad Learning System for Disease Classification. IEEE Access 11 (2023)
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 (2023)
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 (2022)
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) (2022)
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) (2022)
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) (2021)
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) (2021)
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 (2021)
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) (2021)
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 (2021)
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) (2020)
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) (2020)
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) (2019)
Shaktinarayana Mishra, Prachitara Satapathy, Lokanath Tripathy, Pradipta Kishore Dash
A VMD Based Extreme Learning Machine Approach for Nonlinear System Identification. ICIT (2019)
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) (2018)
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) (2018)
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) (2018)
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) (2016)
Sreejit Chakravarty, P. Mohapatra, Pradipta Kishore Dash
Evolutionary extreme learning machine for energy price forecasting. Int. J. Knowl. Based Intell. Eng. Syst. 20 (2) (2016)
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 (2016)
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 (2015)
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) (2015)
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) (2015)
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) (2014)
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 (2014)
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) (2014)
Niva Das, Aurobinda Routray, Pradipta Kishore Dash
learning approach to blind separation of signals. Digit. Signal Process. 20 (2) (2010)
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)
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) (2000)
Pradipta Kishore Dash, D. K. Panda
Software technique for a microcomputer-based digital instrumentation scheme using functional expansion. Microprocess. Microsystems 9 (5) (1985)
Pradipta Kishore Dash, D. K. Panda
Spectral observation of power network signals for digital signal processing. Microprocess. Microsystems 8 (9) (1984)