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Dr. Mridu Sahu
Dr. Mridu Sahu
Assistant Professor,Department of IT,NIT Raipur
Verified email at nitrr.ac.in
Title
Cited by
Cited by
Year
Statistical wavelets with harmony search-based optimal feature selection of EEG signals for motor imagery classification
S Mohdiwale, M Sahu, GR Sinha, V Bhateja
IEEE Sensors Journal 21 (13), 14263-14271, 2020
222020
Automated cognitive workload assessment using logical teaching learning-based optimization and PROMETHEE multi-criteria decision making approach
S Mohdiwale, M Sahu, GR Sinha, V Bajaj
IEEE Sensors Journal 20 (22), 13629-13637, 2020
222020
Performance evaluation of different classifier for eye state prediction using EEG signal
M Sahu, NK Nagwani, S Verma, S Shirke
International Journal of Knowledge Engineering 1 (2), 141-145, 2015
172015
An incremental feature reordering (IFR) algorithm to classify eye state identification using EEG
M Sahu, NK Nagwani, S Verma, S Shirke
Information Systems Design and Intelligent Applications: Proceedings of …, 2015
172015
Improving the classification performance of breast ultrasound image using deep learning and optimization algorithm
P Khanna, M Sahu, BK Singh
2021 IEEE International Conference on Technology, Research, and Innovation …, 2021
102021
Eye blinking classification through NeuroSky MindWave headset using EegID tool
M Sahu, P Shukla, A Chandel, S Jain, S Verma
International Conference on Innovative Computing and Communications …, 2021
102021
Investigating feature ranking methods for sub-band and relative power features in motor imagery task classification
S Mohdiwale, M Sahu, GR Sinha, H Nisar
Journal of healthcare engineering 2021, 2021
92021
Survey: tensorflow in machine learning
M Ramchandani, H Khandare, P Singh, P Rajak, N Suryawanshi, ...
Journal of physics: conference series 2273 (1), 012008, 2022
82022
LJaya optimisation‐based channel selection approach for performance improvement of cognitive workload assessment technique
S Mohdiwale, M Sahu, GR Sinha
Electronics Letters 56 (15), 793-795, 2020
82020
Feature compression using PCA on motor imagery classifications
M Sahu, Y Sharma, D Sharma, S Bajpai
Proceedings of 3rd international conference on internet of things and …, 2018
82018
Brain and Behavior Computing
M Sahu, GR Sinha
CRC Press, 2021
72021
Impact of feature selection on EEG based motor imagery
M Sahu, S Shukla
Information and Communication Technology for Competitive Strategies …, 2019
72019
Classifying minerals using deep learning algorithms
T Singh, DC Jhariya, M Sahu, P Dewangan, PY Dhekne
IOP Conference Series: Earth and Environmental Science 1032 (1), 012046, 2022
62022
Impact of discretization on classification of data using divide and conquer paradigm
M Sahu, S Sharma, V Raj, NK Nagwani, S Verma
2016 International Conference on Electrical, Electronics, and Optimization …, 2016
62016
Early prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer MRI images using combined Pre-trained convolutional neural network and machine …
P Khanna, M Sahu, BK Singh, V Bhateja
Measurement 207, 112269, 2023
52023
Predicting Heart Diseases through Feature Selection and Ensemble Classifiers
S Diwan, GS Thakur, SK Sahu, M Sahu, NK Swamy
Journal of Physics: Conference Series 2273 (1), 012027, 2022
52022
Eeg artifact removal techniques: A comparative study
M Sahu, S Mohdiwale, N Khoriya, Y Upadhyay, A Verma, S Singh
International Conference on Innovative Computing and Communications …, 2021
52021
EEG signal analysis and classification on P300 speller-based BCI performance in ALS patients
M Sahu, S Verma, NK Nagwani, S Shukla
International Journal of Medical Engineering and Informatics 12 (4), 375-400, 2020
52020
Classification of two-class motor imagery EEG signals using empirical mode decomposition and hilbert–huang transformation
R Ghritlahare, M Sahu, R Kumar
Computing and Network Sustainability: Proceedings of IRSCNS 2018, 375-386, 2019
52019
Applying auto regression techniques on amyotrophic lateral sclerosis patients EEG dataset with P300 speller
M Sahu, NK Nagwani, S Verma
Indian Journal of Science and Technology, 2016
42016
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