Mrutyunjaya Sahani

According to our database, Mrutyunjaya Sahani authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Autoencoder-based improved deep learning approach for schizophrenic EEG signal classification.

Sebamai Parija, Mrutyunjaya Sahani, Ranjeeta Bisoi, P. K. Dash

Pattern Anal. Appl., May, 2023

2022

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

Mrutyunjaya Sahani, Pradipta Kishore Dash

IEEE Trans. Neural Networks Learn. Syst., 2022

An efficient epileptic seizure classification system using empirical wavelet transform and multi-fuse reduced deep convolutional neural network with digital implementation.

Susanta Kumar Rout, Mrutyunjaya Sahani, Chinmayee Dora, Pradyut Kumar Biswal, Birendra Biswal

Biomed. Signal Process. Control., 2022

2021

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

Mrutyunjaya Sahani, Pradipta Kishore Dash

IEEE Trans. Instrum. Meas., 2021

Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals.

Mrutyunjaya Sahani, Susanta Kumar Rout, Pradipta Kishore Dash

IEEE Trans. Biomed. Circuits Syst., 2021

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

Mrutyunjaya Sahani, Bhanja Kishor Swain, Pradipta Kishore Dash

IET Image Process., 2021

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

Sebamai Parija, Ranjeeta Bisoi, P. K. Dash, Mrutyunjaya Sahani

Eng. Appl. Artif. Intell., 2021

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

Susanta Kumar Rout, Mrutyunjaya Sahani, P. K. Dash, Pradyut Kumar Biswal

Comput. Biol. Medicine, 2021

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

Mrutyunjaya Sahani, Susanta Kumar Rout, Pradipta Kishore Dash

Appl. Soft Comput., 2021

2020

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

Mrutyunjaya Sahani, Pradipta Kishore Dash

IEEE Trans. Ind. Informatics, 2020

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

Mrutyunjaya Sahani, P. K. Dash

Eng. Appl. Artif. Intell., 2020

2019

FPGA-Based Online Power Quality Disturbances Monitoring Using Reduced-Sample HHT and Class-Specific Weighted RVFLN.

Mrutyunjaya Sahani, Pradipta Kishore Dash

IEEE Trans. Ind. Informatics, 2019

Fault location estimation for series-compensated double-circuit transmission line using parameter optimized variational mode decomposition and weighted P-norm random vector functional link network.

Mrutyunjaya Sahani, P. K. Dash

Appl. Soft Comput., 2019

2018

Automatic Power Quality Events Recognition Based on Hilbert Huang Transform and Weighted Bidirectional Extreme Learning Machine.

Mrutyunjaya Sahani, Pradipta Kishore Dash

IEEE Trans. Ind. Informatics, 2018

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

Mrutyunjaya Sahani, P. K. Dash

Neurocomputing, 2018

2016

Design of Face Recognition based Embedded Home Security System.

Mrutyunjaya Sahani, Subhashree Subudhi, Mihir Narayan Mohanty

KSII Trans. Internet Inf. Syst., 2016

2015

Modified Color Brightness Preserving Bi-histogram Equalization with Variable Enhancement Degree for Restoration of Skin Color.

Susanta Kumar Rout, Mrutyunjaya Sahani, Mihir Narayan Mohanty

Proceedings of the 2015 International Conference on Information Technology, 2015