A survey on the magnetic resonance image denoising methods J Mohan, V Krishnaveni, Y Guo Biomedical signal processing and control 9, 56-69, 2014 | 335 | 2014 |
Automatic identification and removal of ocular artifacts from EEG using wavelet transform V Krishnaveni, S Jayaraman, S Aravind, V Hariharasudhan, K Ramadoss Measurement science review 6 (4), 45-57, 2006 | 260 | 2006 |
Removal of ocular artifacts from EEG using adaptive thresholding of wavelet coefficients V Krishnaveni, S Jayaraman, L Anitha, K Ramadoss Journal of neural engineering 3 (4), 338, 2006 | 203 | 2006 |
Beamforming for direction-of-arrival (DOA) estimation-a survey V Krishnaveni, T Kesavamurthy, B Aparna International Journal of Computer Applications 61 (11), 2013 | 103 | 2013 |
MRI denoising using nonlocal neutrosophic set approach of Wiener filtering J Mohan, V Krishnaveni, Y Guo Biomedical Signal Processing and Control 8 (6), 779-791, 2013 | 68 | 2013 |
Comparison of independent component analysis algorithms for removal of ocular artifacts from electroencephalogram V Krishnaveni, S Jayaraman, PMM Kumar, K Shivakumar, K Ramadoss Measurement Science Review 5 (2), 67-78, 2005 | 65 | 2005 |
An evolutionary multipath energy-efficient routing protocol (EMEER) for network lifetime enhancement in wireless sensor networks M Ezhilarasi, V Krishnaveni Soft computing 23 (18), 8367-8377, 2019 | 54 | 2019 |
Non adaptive thresholding methods for correcting ocular artifacts in EEG V Krishnaveni, S Jayaraman, N Malmurugan, A Kandasamy, D Ramadoss Academic Open Internet Journal 13, 2004 | 49 | 2004 |
A new neutrosophic approach of Wiener filtering for MRI denoising J Mohan, V Krishnaveni, Y Guo Measurement Science Review 13 (4), 177-186, 2013 | 41 | 2013 |
Removal of ocular artifacts from EEG—A Survey A Kandaswamy, V Krishnaveni, S Jayaraman, N Malmurugan, ... IETE journal of research 51 (2), 121-130, 2005 | 32 | 2005 |
MRI denoising based on neutrosophic wiener filtering J Mohan, Y Guo, V Krishnaveni, K Jeganathan 2012 IEEE International Conference on Imaging Systems and Techniques …, 2012 | 27 | 2012 |
A survey on wireless sensor network: energy and lifetime perspective M Ezhilarasi, V Krishnaveni Taga Journal 14 (6), 41-48, 2018 | 25 | 2018 |
Evaluation of neutrosophic set approach filtering technique for image denoising J Mohan, APTS Chandra, V Krishnaveni, Y Guo The International Journal of Multimedia & Its Applications 4 (4), 73, 2012 | 22 | 2012 |
Performance analysis survey of various SAR image despeckling techniques A Rajamani, V Krishnaveni International Journal of Computer Applications 90 (7), 2014 | 21 | 2014 |
Automatic removal of ocular artifacts using JADE algorithm and neural network V Krishnaveni, S Jayaraman, A Gunasekaran, K Ramadoss International Journal of Intelligent Systems and Technologies 1 (4), 322-333, 2006 | 21 | 2006 |
Detection of pulmonary nodules using thresholding and fractal analysis D Ramesh, D Jose, R Keerthana, V Krishnaveni Computational Vision and Bio Inspired Computing, 937-946, 2018 | 18 | 2018 |
Certain investigation on iris image recognition using hybrid approach of Fourier transform and Bernstein polynomials M Ramya, V Krishnaveni, KS Sridharan Pattern Recognition Letters 94, 154-162, 2017 | 18 | 2017 |
A neutrosophic approach of MRI denoising J Mohan, V Krishnaveni, Y Guo 2011 International Conference on Image Information Processing, 1-6, 2011 | 16 | 2011 |
Automated brain tumor segmentation on MR images based on neutrosophic set approach J Mohan, V Krishnaveni, Y Huo 2015 2nd international conference on electronics and communication systems …, 2015 | 15 | 2015 |
A novel enhanced bio-inspired harmony search algorithm for clustering V Krishnaveni, G Arumugam 2012 International Conference on Recent Advances in Computing and Software …, 2012 | 14 | 2012 |