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Kedarnath Senapati
Kedarnath Senapati
Associate Professor of Mathematics, National Institute of Technology Karnataka, Surathkal
Verified email at nitk.edu.in - Homepage
Title
Cited by
Cited by
Year
Comparison of ICA and WT with S-transform based method for removal of ocular artifact from EEG signals
K Senapati, A Routray
Journal of Biomedical Science and Engineering 4 (05), 341, 2011
142011
Shrinking generators based on σ-LFSRs
SK Bishoi, K Senapati, BR Shankar
Discrete Applied Mathematics 285, 493-500, 2020
82020
A new technique for removal of ocular artifacts from EEG signals using S-transform
K Senapati, S Kar, A Routray
2010 International conference on systems in medicine and biology, 113-116, 2010
82010
Blind deconvolution of seismic signals in time and frequency domain: A study on 2004 sumatra earthquake
K Senapati, S Dhubia, A Routray, WK Mohanty
International Journal of Signal Processing, Image Processing and Pattern …, 2011
62011
Short‐term wind speed forecasting using S‐transform with compactly supported kernel
PR Kamath, K Senapati
Wind Energy 24 (3), 260-274, 2021
52021
Iteration of certain exponential-like meromorphic functions
TK Chakra, T Nayak, K Senapati
Proceedings-Mathematical Sciences 128, 1-18, 2018
32018
Local convergence analysis of two iterative methods
S George, IK Argyros, K Senapati, K Kanagaraj
The Journal of Analysis 30 (4), 1497-1508, 2022
22022
Bitstream generators using Multiple-Recursive Matrix Methods
SK Bishoi, K Senapati, BR Shankar
22022
On a Noor-Waseem-type method for solving nonlinear equations
S Regmi, IK Argyros, S George, C Argyros, K Senapati
Electronic Journal of Mathematics 3, 16-21, 2022
22022
Extending the applicability of the inexact Newton-HSS method for solving large systems of nonlinear equations
IK Argyros, S George, K Senapati
Numerical Algorithms 83, 333-353, 2020
22020
Time–Frequency–Phase Analysis for Automatic Detection of Ocular Artifact in EEG Signal using S-Transform
K Senapati, PR Kamath
Machine Intelligence and Signal Analysis, 49-58, 2019
22019
Enhancing the applicability of Chebyshev-like method
S George, I Bate, M Muniyasamy, G Chandhini, K Senapati
Journal of Complexity, 101854, 2024
12024
Extended local convergence for Newton-type solver under weak conditions
IK Argyros, S George, K Senapati
Studia Universitatis Babes-Bolyai, Mathematica 66 (4), 2021
12021
Despeckling of SAR images using shrinkage of two-dimensional discrete orthonormal S-transform
PR Kamath, K Senapati, P Jidesh
International Journal of Image and Graphics 21 (02), 2150023, 2021
12021
Extended convergence for two-step methods with non-differentiable parts in Banach spaces
IK Argyros, S George, K Senapati
The Journal of Analysis 32 (2), 697-709, 2024
2024
Unified Convergence Analysis of Newton Midpoint-type Iterative Methods
G Chandhini, M Muniyasamy, S George, I Bate, K Senapati
2024
A Novel Decision Level Class-Wise Ensemble Method in Deep Learning for Automatic Multi-Class Classification of HER2 Breast Cancer Hematoxylin-Eosin Images
GP Pateel, K Senapati, AK Pandey
IEEE Access, 2024
2024
Approximating Solutions of Nonlinear Equations Using an Extended Traub Method
S George, IK Argyros, CI Argyros, K Senapati
Foundations 2 (3), 617-623, 2022
2022
Time–Frequency–Phase Analysis for Automatic Detection of Ocular Artifact in EEG Signal using
K Senapati, PR Kamath
Machine Intelligence and Signal Analysis 748, 49, 2018
2018
Improving the Performance of Multi-Stage Her2 Breast Cancer Detection in Hematoxylin-Eosin Images Based on Ensemble Deep Learning
P GP, K Senapati, AK Pandey
Available at SSRN 4673047, 0
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