M. Sahani

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Classification of Skin Lesions Using Deep Convolutional Neural Network

Bhanja Kishor Swain, S. K. Rout, M. Sahani, 2021, Lecture Notes in Electrical Engineering.

A new adaptive integral back stepping fractional order sliding mode control approach for PV and wind with battery system based DC microgrid

P. K. Dash, M. Sahani, E. N. Prasad, 2022, Sustainable Energy Technologies and Assessments.

Detection of faults and DG islanding in PV-Wind DC ring bus microgrid by using optimized VMD based improved broad learning system

M. Sahani, K. Anjaiah, P. Dash, 2022, ISA Transactions.

A new protection scheme for PV-wind based DC-ring microgrid by using modified multifractal detrended fluctuation analysis

P. Dash, M. Sahani, K. Anjaiah, 2022, Protection and Control of Modern Power Systems.

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, Pradipta Kishore Dash, P. Dash, 2019, Appl. Soft Comput..

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

Mrutyunjaya Sahani, Pradipta Kishore Dash, P. Dash, 2020, Eng. Appl. Artif. Intell..

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

Mrutyunjaya Sahani, Pradipta Kishore Dash, P. Dash, 2018, IEEE Transactions on Industrial Informatics.

FPGA-Based Deep Convolutional Neural Network of Process Adaptive VMD Data With Online Sequential RVFLN for Power Quality Events Recognition

Mrutyunjaya Sahani, Pradipta Kishore Dash, P. Dash, 2021, IEEE Transactions on Power Electronics.

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

Mrutyunjaya Sahani, Pradipta Kishore Dash, P. Dash, 2021, IEEE Transactions on Instrumentation and Measurement.

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

Mrutyunjaya Sahani, Pradipta Kishore Dash, P. Dash, 2018, Neurocomputing.

Islanding and power quality disturbance monitoring in microgrid using adaptive cross variational mode decomposition and reduced kernel ridge regression

Mrutyunjaya Sahani, Pradipta Kishore Dash, Pravati Nayak, 2020 .

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

Mrutyunjaya Sahani, Pradipta Kishore Dash, Ranjeeta Bisoi, 2021, Eng. Appl. Artif. Intell..

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

Mrutyunjaya Sahani, Pradipta Kishore Dash, Bhanja Kishor Swain, 2020, IET Image Processing.

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

R. Bisoi, P. K. Dash, Sebamai Parija, 2022, Pattern Analysis and Applications.

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

B. Biswal, P. Biswal, S. K. Rout, 2022, Biomed. Signal Process. Control..

Unsupervised Reduced Deep Convolutional Neural Network of Process Empirical Wavelet Transform Data for Recognition of the Early Stage of Alzheimer’s Disease

Mrutyunjaya Sahani, Susanta Kumar Rout, Bhanja Kishor Swain, 2020 .

Web-based online embedded door access control and home security system based on face recognition

M. Sahani, C. Nanda, Abhijeet Kumar Sahu, 2015, 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015].

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

Mrutyunjaya Sahani, Pradipta Kishore Dash, Susanta Kumar Rout, 2021, Appl. Soft Comput..

Diagnosis of Voltage Dips Using a Novel Morphological Filter and a Smart Deep Learning LSTM-Based Minimum Variance RVFLN Classifier

P. K. Dash, M. Sahani, Lipsa Priyadarshini, 2022, Iranian Journal of Science and Technology Transactions of Electrical Engineering.

A real-time power quality events recognition using variational mode decomposition and online-sequential extreme learning machine

Debashisa Samal, Mrutyunjaya Sahani, Pradipta Kishore Dash, 2020, Measurement.

A new protection scheme for PV-wind based DC-ring microgrid by using modified multifractal detrended fluctuation analysis

P. Dash, M. Sahani, K. Anjaiah, 2022, Protection and Control of Modern Power Systems.

Automatic Recognition of the Early Stage of Alzheimer’s Disease Based on Discrete Wavelet Transform and Reduced Deep Convolutional Neural Network

Mrutyunjaya Sahani, Renu Sharma, Bhanja Kishor Swain, 2020 .

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

Mrutyunjaya Sahani, Susanta Kumar Rout, Pradipta Kishor Dash, 2021, IEEE Transactions on Biomedical Circuits and Systems.

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

Mrutyunjaya Sahani, Pradipta Kishore Dash, Pradyut Kumar Biswal, 2021, Comput. Biol. Medicine.

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

Mrutyunjaya Sahani, Mihir Narayan Mohanty, Susanta Kumar Rout, 2015, 2015 International Conference on Information Technology (ICIT).

Impaired Fractal Based Sub-Array Diagnosis

D. C. Panda, P. Raiguru, R. Mishra, 2022, 2022 IEEE Wireless Antenna and Microwave Symposium (WAMS).

Design of Face Recognition based Embedded Home Security System

Mrutyunjaya Sahani, Mihir Narayan Mohanty, Subhashree Subudhi, 2016, KSII Trans. Internet Inf. Syst..