Karen Rafferty
Karen Rafferty
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Cited by
Short, medium and long term load forecasting model and virtual load forecaster based on radial basis function neural networks
C Xia, J Wang, K McMenemy
International Journal of Electrical Power & Energy Systems 32 (7), 743-750, 2010
The TREAT‐NMD D uchenne Muscular Dystrophy Registries: Conception, Design, and Utilization by Industry and Academia
CL Bladen, K Rafferty, V Straub, S Monges, A Moresco, H Dawkins, A Roy, ...
Human mutation 34 (11), 1449-1457, 2013
Mapping the differences in care for 5,000 spinal muscular atrophy patients, a survey of 24 national registries in North America, Australasia and Europe
CL Bladen, R Thompson, JM Jackson, C Garland, C Wegel, A Ambrosini, ...
Journal of neurology 261, 152-163, 2014
Critical assessment of recent trends related to screening and confirmatory analytical methods for selected food contaminants and allergens
AS Tsagkaris, JLD Nelis, GMS Ross, S Jafari, J Guercetti, K Kopper, ...
TrAC Trends in Analytical Chemistry 121, 115688, 2019
FPGA-based processor acceleration for image processing applications
F Siddiqui, S Amiri, UI Minhas, T Deng, R Woods, K Rafferty, D Crookes
Journal of Imaging 5 (1), 16, 2019
Bacteriological sampling of telephones and other hospital staff hand-contact objects
KM Rafferty, SJ Pancoast
Infection Control & Hospital Epidemiology 5 (11), 533-535, 1984
A hitchhiker's guide to virtual reality
K McMenemy, RS Ferguson
CRC Press, 2007
A general purpose reporter for cations: absorption, fluorescence and electrochemical sensing of zinc (ii)
AC Benniston, A Harriman, DJ Lawrie, A Mayeux, K Rafferty, OD Russell
Dalton Transactions, 4762-4769, 2003
The efficiency of color space channels to quantify color and color intensity change in liquids, pH strips, and lateral flow assays with smartphones
JLD Nelis, L Bura, Y Zhao, KM Burkin, K Rafferty, CT Elliott, K Campbell
Sensors 19 (23), 5104, 2019
A randomized combined channel approach for the quantification of color-and intensity-based assays with smartphones
JLD Nelis, Y Zhao, L Bura, K Rafferty, CT Elliott, K Campbell
Analytical Chemistry 92 (11), 7852-7860, 2020
The end user sensor tree: An end-user friendly sensor database
JLD Nelis, AS Tsagkaris, Y Zhao, J Lou-Franco, P Nolan, H Zhou, C Cao, ...
Biosensors and Bioelectronics 130, 245-253, 2019
FPGA-based soft-core processors for image processing applications
M Amiri, FM Siddiqui, C Kelly, R Woods, K Rafferty, B Bardak
Journal of signal processing systems 87, 139-156, 2017
Design, set-up and utility of the UK facioscapulohumeral muscular dystrophy patient registry
T Evangelista, L Wood, R Fernandez-Torron, M Williams, D Smith, P Lunt, ...
Journal of neurology 263, 1401-1408, 2016
IPPro: FPGA based image processing processor
FM Siddiqui, M Russell, B Bardak, R Woods, K Rafferty
2014 IEEE Workshop on Signal Processing Systems (SiPS), 1-6, 2014
An efficient feature selection method for mobile devices with application to activity recognition
JX Peng, S Ferguson, K Rafferty, PD Kelly
Neurocomputing 74 (17), 3543-3552, 2011
Glare, luminance, and illuminance measurements of road lighting using vehicle mounted CCD cameras
A Zatari, G Dodds, K McMenemy, R Robinson
Leukos 1 (2), 85-106, 2005
Real time robotic arm control using hand gestures with multiple end effectors
S Devine, K Rafferty, S Ferguson
2016 UKACC 11th International Conference on Control (CONTROL), 1-5, 2016
Global FKRP Registry: observations in more than 300 patients with Limb Girdle Muscular Dystrophy R9
LB Murphy, O Schreiber‐Katz, K Rafferty, A Robertson, A Topf, TA Willis, ...
Annals of clinical and translational neurology 7 (5), 757-766, 2020
Practical automated activity recognition using standard smartphones
V Stewart, S Ferguson, JX Peng, K Rafferty
2012 IEEE International Conference on Pervasive Computing and Communications …, 2012
Epipolar geometry estimation based on evolutionary agents
M Hu, K McMenemy, S Ferguson, G Dodds, B Yuan
Pattern Recognition 41 (2), 575-591, 2008
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