Cikkek nyilvánosan hozzáférhető megbízással - Girijesh PrasadTovábbi információ
Sehol sem hozzáférhető: 1
Evaluating Quantum Neural Network filtered motor imagery brain-computer interface using multiple classification techniques
V Gandhi, G Prasad, D Coyle, L Behera, TM McGinnity
Neurocomputing 170, 161-167, 2015
Megbízások: Department of Science & Technology, India
Valahol hozzáférhető: 74
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
Megbízások: US National Institutes of Health
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
Megbízások: Department of Science & Technology, India
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
Megbízások: Department of Science & Technology, India, UK Engineering and Physical …
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
Megbízások: Department of Science & Technology, India
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
Megbízások: Department of Science & Technology, India
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
Megbízások: Health Data Research, UK
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
Megbízások: Department of Science & Technology, India
A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual
M Bucholc, X Ding, H Wang, DH Glass, H Wang, G Prasad, LP Maguire, ...
Expert systems with applications 130, 157-171, 2019
Megbízások: US Department of Defense, US National Institutes of Health, Canadian …
Active physical practice followed by mental practice using BCI-driven hand exoskeleton: a pilot trial for clinical effectiveness and usability
A Chowdhury, YK Meena, H Raza, B Bhushan, AK Uttam, N Pandey, ...
IEEE journal of biomedical and health informatics 22 (6), 1786-1795, 2018
Megbízások: Department of Science & Technology, India
An EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitation
A Chowdhury, H Raza, YK Meena, A Dutta, G Prasad
Journal of neuroscience methods 312, 1-11, 2019
Megbízások: Department of Science & Technology, India
The interplay between DNA methylation, folate and neurocognitive development
RE Irwin, K Pentieva, T Cassidy, DJ Lees-Murdock, M McLaughlin, ...
Epigenomics 8 (6), 863-879, 2016
Megbízások: UK Biotechnology and Biological Sciences Research Council, UK Economic and …
Tangent space features-based transfer learning classification model for two-class motor imagery brain–computer interface
P Gaur, K McCreadie, RB Pachori, H Wang, G Prasad
International journal of neural systems 29 (10), 1950025, 2019
Megbízások: Department of Science & Technology, India
Online covariate shift detection-based adaptive brain–computer interface to trigger hand exoskeleton feedback for neuro-rehabilitation
A Chowdhury, H Raza, YK Meena, A Dutta, G Prasad
IEEE Transactions on Cognitive and Developmental Systems 10 (4), 1070-1080, 2017
Megbízások: Department of Science & Technology, India
Effects of maternal folic acid supplementation during the second and third trimesters of pregnancy on neurocognitive development in the child: an 11-year follow-up from a …
A Caffrey, H McNulty, M Rollins, G Prasad, P Gaur, JB Talcott, C Witton, ...
BMC medicine 19, 1-13, 2021
Megbízások: UK Biotechnology and Biological Sciences Research Council, UK Economic and …
A hybrid computational approach for efficient Alzheimer’s disease classification based on heterogeneous data
X Ding, M Bucholc, H Wang, DH Glass, H Wang, DH Clarke, AJ Bjourson, ...
Scientific reports 8 (1), 9774, 2018
Megbízások: European Commission, UK Research & Innovation
Functional dissociation of brain rhythms in social coordination
M Naeem, G Prasad, DR Watson, JAS Kelso
Clinical neurophysiology 123 (9), 1789-1797, 2012
Megbízások: US National Institutes of Health
Deep learning based inter-subject continuous decoding of motor imagery for practical brain-computer interfaces
S Roy, A Chowdhury, K McCreadie, G Prasad
Frontiers in Neuroscience 14, 918, 2020
Megbízások: Department of Science & Technology, India
Toward optimization of gaze-controlled human–computer interaction: Application to hindi virtual keyboard for stroke patients
YK Meena, H Cecotti, K Wong-Lin, A Dutta, G Prasad
IEEE transactions on neural systems and rehabilitation engineering 26 (4 …, 2018
Megbízások: Department of Science & Technology, India
Current source density estimation enhances the performance of motor-imagery-related brain–computer interface
D Rathee, H Raza, G Prasad, H Cecotti
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (12 …, 2017
Megbízások: Department of Science & Technology, India
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