John Q Gan
机构: Essex University, School of Computer Science and Electronic Engineering
主页: essex.ac.uk
每年引用次数
引用次数
引用: 5,228
H-指数: 37
I10-指数 : 98
出版物: 176
Local linearisation using fuzzy (soft) input space partition for nonlinear system modelling
Q. Gan , C. J. Harris
1999
Neurofuzzy local linearisation modelling for state estimation of unknown nonlinear processes
C.J. Harris , Q. Gan
IOS Press
2000
Multisensor data fusion using Kalman filters based on linearised process models
C.J. Harris , Q. Gan
4
1999
Nonlinear neurofuzzy state estimators for feature tracking and data fusion
C.J. Harris , Q. Gan , Z.-Q. Wu
1998
Design for centres of RBF neural networks for fast time-varying channel equalisation
Q. Gan , R. Subramanian , N. Sundararajan , P. Saratchandran
Electronics Letters 32 ( 25) 2333 -2334
8
1996
Comparison of two measurement fusion methods for Kalman-filter-based multisensor data fusion
Q. Gan , C.J. Harris
IEEE Transactions on Aerospace and Electronic Systems 37 ( 1) 273 -279
704
2001
A complex valued radial basis function network for equalization of fast time varying channels
Q. Gan , P. Saratchandran , N. Sundararajan , K.R. Subramanian
IEEE Transactions on Neural Networks 10 ( 4) 958 -960
25
1999
New fuzzy data clustering based on information entropy measure and relaxation linguistic modifier
Shang-Ming Zhou , J. Q. Gan
2003
Neurofuzzy state estimators
C.J. HARRIS , X. HONG , Q. GAN
soft computing 377 -402
1
2000
Multiresolution analysis over simple graphs for brain computer interfaces
J Asensio-Cubero , J Q Gan , R Palaniappan
Journal of Neural Engineering 10 ( 4) 046014 -046014
76
2013
AN UNSUPERVISED KERNEL BASED FUZZY C-MEANS CLUSTERING ALGORITHM WITH KERNEL NORMALISATION
SHANG-MING ZHOU , JOHN Q. GAN
International Journal of Computational Intelligence and Applications 04 ( 04) 355 -373
10
2004
FEATURE DIMENSIONALITY REDUCTION BY MANIFOLD LEARNING IN BRAIN-COMPUTER INTERFACE DESIGN
John Q. Gan
9
2006
SELF-ADAPTING BCI BASED ON UNSUPERVISED LEARNING
John Q. Gan
34
2006
Multiresolution analysis of an information based EEG graph representation for motor imagery brain computer interfaces
Javier Asensio-Cubero , John Q. Gan , Ramaswamy Palaniappan
International Conference on Physiological Computing Systems 5 -12
2014
Annálisis Energía-Tiempo de Redes Neuronales Convolucionales Distribuidas en Clusters Heterogéneos para clasificación de EEGs
Miguel Damas , John Q. Gan , Juan José Escobar , Rukiye Savran Kiziltepe
Avances en Arquitectura y Tecnología de Computadores: Actas de Jornadas SARTECO, Cáceres, 18 a 20 de septiembre de 2019|, 2019, ISBN 9788409121274, págs. 109-115 109 -115
2019
One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition.
John Q. Gan , Arwa M. Basbrain
intelligent data engineering and automated learning 197 -208
2020
Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification.
John Q. Gan , Rukiye Savran Kiziltepe
intelligent data engineering and automated learning 77 -87
2020
Augmentation of Small Training Data Using GANs for Enhancing the Performance of Image Classification
John Q. Gan , Shih-Kai Hung
international conference on pattern recognition 3350 -3356
2021
Finger movements recognition using minimally redundant features of wavelet denoised EMG
Nabasmita Phukan , Nayan M. Kakoty , Prastuti Shivam , John Q. Gan
Health technology 9 ( 4) 579 -593
4
2019
EMG Feature Set Selection Through Linear Relationship for Grasp Recognition
Nayan M. Kakoty , Shyamanta M. Hazarika , John Q. Gan
Journal of Medical and Biological Engineering 36 ( 6) 883 -890
14
2016