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Girijesh Prasad
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Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study
G Prasad, P Herman, D Coyle, S McDonough, J Crosbie
Journal of neuroengineering and rehabilitation 7 (1), 1-17, 2010
3752010
Comparative analysis of spectral approaches to feature extraction for EEG-based motor imagery classification
P Herman, G Prasad, TM McGinnity, D Coyle
IEEE Transactions on Neural Systems and Rehabilitation Engineering 16 (4 …, 2008
3422008
An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network
G Leng, TM McGinnity, G Prasad
Fuzzy sets and systems 150 (2), 211-243, 2005
3422005
A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry
P Gaur, RB Pachori, H Wang, G Prasad
Expert Systems with Applications 95, 201-211, 2018
2292018
An on-line algorithm for creating self-organizing fuzzy neural networks
G Leng, G Prasad, TM McGinnity
Neural Networks 17 (10), 1477-1493, 2004
2282004
Design for self-organizing fuzzy neural networks based on genetic algorithms
G Leng, TM McGinnity, G Prasad
IEEE transactions on fuzzy systems 14 (6), 755-766, 2006
2052006
Statistical and computational intelligence techniques for inferential model development: a comparative evaluation and a novel proposition for fusion
K Warne, G Prasad, S Rezvani, L Maguire
Engineering applications of artificial intelligence 17 (8), 871-885, 2004
1512004
Electrophysiological signatures of intentional social coordination in the 10–12 Hz range
M Naeem, G Prasad, DR Watson, JAS Kelso
Neuroimage 59 (2), 1795-1803, 2012
1372012
A time-series prediction approach for feature extraction in a brain-computer interface
D Coyle, G Prasad, TM McGinnity
IEEE transactions on neural systems and rehabilitation engineering 13 (4 …, 2005
1332005
Quantum neural network-based EEG filtering for a brain–computer interface
V Gandhi, G Prasad, D Coyle, L Behera, TM McGinnity
IEEE transactions on neural networks and learning systems 25 (2), 278-288, 2013
1292013
EEG-based mobile robot control through an adaptive brain–robot interface
V Gandhi, G Prasad, D Coyle, L Behera, TM McGinnity
IEEE Transactions on Systems, Man, and Cybernetics: Systems 44 (9), 1278-1285, 2014
1262014
A local model networks based multivariable long-range predictive control strategy for thermal power plants
G Prasad, E Swidenbank, BW Hogg
Automatica 34 (10), 1185-1204, 1998
1211998
EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments
H Raza, G Prasad, Y Li
Pattern Recognition 48 (3), 659-669, 2015
1192015
Adaptive learning with covariate shift-detection for motor imagery-based brain–computer interface
H Raza, H Cecotti, Y Li, G Prasad
Soft Computing 20, 3085-3096, 2016
1122016
A neural net model-based multivariable long-range predictive control strategy applied in thermal power plant control
G Prasad, E Swidenbank, BW Hogg
IEEE Transactions on Energy Conversion 13 (2), 176-182, 1998
1091998
Faster self-organizing fuzzy neural network training and a hyperparameter analysis for a brain–computer interface
D Coyle, G Prasad, TM McGinnity
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009
1072009
An empirical mode decomposition based filtering method for classification of motor-imagery EEG signals for enhancing brain-computer interface
P Gaur, RB Pachori, H Wang, G Prasad
2015 International joint conference on neural networks (IJCNN), 1-7, 2015
972015
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface
H Raza, D Rathee, SM Zhou, H Cecotti, G Prasad
Neurocomputing 343, 154-166, 2019
932019
An automatic subject specific intrinsic mode function selection for enhancing two-class EEG-based motor imagery-brain computer interface
P Gaur, RB Pachori, H Wang, G Prasad
IEEE Sensors Journal 19 (16), 6938-6947, 2019
852019
A time-frequency approach to feature extraction for a brain-computer interface with a comparative analysis of performance measures
D Coyle, G Prasad, TM McGinnity
EURASIP Journal on Advances in Signal Processing 2005, 1-11, 2005
832005
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