Mrutyunjaya Sahani

Orcid: 0000-0003-0276-8366

According to our database1, Mrutyunjaya Sahani authored at least 19 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
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., 2024

RDCSAE-RKRVFLN: A unified deep learning framework for robust and accurate DOA estimation.
Appl. Soft Comput., 2024

2023
Autoencoder-based improved deep learning approach for schizophrenic EEG signal classification.
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.
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.
Biomed. Signal Process. Control., 2022

2021
Deep Convolutional Stack Autoencoder of Process Adaptive VMD Data With Robust Multikernel RVFLN for Power Quality Events Recognition.
IEEE Trans. Instrum. Meas., 2021

Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals.
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.
IET Image Process., 2021

Deep long short term memory based minimum variance kernel random vector functional link network for epileptic EEG signal classification.
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.
Comput. Biol. Medicine, 2021

FPGA implementation of epileptic seizure detection using semisupervised reduced deep convolutional neural network.
Appl. Soft Comput., 2021

2020
Automatic Power Quality Events Recognition Using Modes Decomposition Based Online P-Norm Adaptive Extreme Learning Machine.
IEEE Trans. Ind. Informatics, 2020

Fault location estimation for series-compensated double-circuit transmission line using EWT and weighted RVFLN.
Eng. Appl. Artif. Intell., 2020

2019
FPGA-Based Online Power Quality Disturbances Monitoring Using Reduced-Sample HHT and Class-Specific Weighted RVFLN.
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.
Appl. Soft Comput., 2019

2018
Automatic Power Quality Events Recognition Based on Hilbert Huang Transform and Weighted Bidirectional Extreme Learning Machine.
IEEE Trans. Ind. Informatics, 2018

Variational mode decomposition and weighted online sequential extreme learning machine for power quality event patterns recognition.
Neurocomputing, 2018

2016
Design of Face Recognition based Embedded Home Security System.
KSII Trans. Internet Inf. Syst., 2016

2015
Modified Color Brightness Preserving Bi-histogram Equalization with Variable Enhancement Degree for Restoration of Skin Color.
Proceedings of the 2015 International Conference on Information Technology, 2015


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