EEG/ERP Adaptive Noise Canceller Design with Controlled Search Space (CSS) Approach in Cuckoo and other Optimization Algorithms M Ahirwal, A Kumar, G Singh IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.10 …, 2013 | 53 | 2013 |
Adaptive filtering of EEG/ERP through bounded range artificial bee colony (BR-ABC) algorithm MK Ahirwal, A Kumar, GK Singh Digital Signal Processing 25, 164-172, 2014 | 49 | 2014 |
Power spectrum analysis of EEG signals for estimating visual attention MK Ahirwal, ND Londhe International Journal of computer applications 42 (15), 22-25, 2012 | 45 | 2012 |
Analysis and testing of PSO variants through application in EEG/ERP adaptive filtering approach MK Ahirwal, A Kumar, GK Singh Biomedical Engineering Letters 2 (3), 186-197, 2012 | 43 | 2012 |
Adaptive filtering of EEG/ERP through noise cancellers using an improved PSO algorithm MK Ahirwal, A Kumar, GK Singh Swarm and Evolutionary Computation 14, 76-91, 2014 | 41 | 2014 |
QRS detection using adaptive filters: A comparative study S Jain, MK Ahirwal, A Kumar, V Bajaj, GK Singh ISA Transactions (Elsevier), 2016 | 38 | 2016 |
Study of ABC and PSO algorithms as optimised adaptive noise canceller for EEG/ERP MK Ahirwal, A Kumar, GK Singh International Journal of Bio-Inspired Computation 8 (3), 170-183, 2016 | 10 | 2016 |
Sub-band adaptive filtering method for electroencephalography/event related potential signal using nature inspired optimisation techniques MK Ahirwal, A Kumar, GK Singh IET Science, Measurement & Technology 9 (8), 987-997, 2015 | 10 | 2015 |
Machine learning paradigms for speech recognition of an Indian dialect ND Londhe, MK Ahirwal, P Lodha 2016 International Conference on Communication and Signal Processing (ICCSP …, 2016 | 9 | 2016 |
A new approach for utilisation of single ERP to control multiple commands in BCI MK Ahirwal, A Kumar, GK Singh International Journal of Electronics Letters 2 (3), 166-171, 2014 | 8 | 2014 |
Sub-band classification of decomposed single event-related potential co-variants for multi-class brain–computer interface: a qualitative and quantitative approach MK Ahirwal, A Kumar, GK Singh, JS Suri IET Science, Measurement & Technology 10 (4), 355-363, 2016 | 7 | 2016 |
Scalp connectivity networks for analysis of EEG signal during emotional stimulation MK Ahirwal, A Kumar, ND Londhe, H Bikrol 2016 International Conference on Communication and Signal Processing (ICCSP …, 2016 | 7 | 2016 |
Improved range selection method for evolutionary algorithm based adaptive filtering of EEG/ERP signals MK Ahirwal, A Kumar, GK Singh Neurocomputing 144, 282-294, 2014 | 7 | 2014 |
Emotion recognition system based on EEG signal: a comparative study of different features and classifiers MK Ahirwal, MR Kose 2018 Second International Conference on Computing Methodologies and …, 2018 | 6 | 2018 |
Descendent adaptive noise cancellers to improve SNR of contaminated EEG with gradient-based and evolutionary approach MK Ahirwal, A Kumar, GK Singh International Journal of Biomedical Engineering and Technology 13 (1), 49-68, 2013 | 6 | 2013 |
Classification of 2D hand movement with power spectrum estimation MK Ahirwal, ND Londhe International Journal of Biomedical Engineering and Technology 9 (3), 277-286, 2012 | 5 | 2012 |
Performance prediction of adaptive filters for EEG signal MK Ahirwal, A Kumar, GK Singh, ND Londhe IET Science, Measurement & Technology 11 (5), 525-531, 2017 | 4 | 2017 |
Offline study of brain computer interfacing for hand movement using OpenVIBE MK Ahirwal, ND Londhe 2011 International Conference on Process Automation, Control and Computing, 1-5, 2011 | 4 | 2011 |
Audio-visual stimulation based emotion classification by correlated EEG channels MK Ahirwal, MR Kose Health and Technology 10 (1), 7-23, 2020 | 3 | 2020 |
Computational model for human decision making: A study of prospect theory N Gupta, MK Ahirwal, M Atulkar 2018 Conference on Information and Communication Technology (CICT), 1-6, 2018 | 1 | 2018 |