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William Lyons, Lyons W. B., Lyons W, W Lyons, William B Lyons
William Lyons, Lyons W. B., Lyons W, W Lyons, William B Lyons
Dundalk Institute of Technology, City University London, University of Limerick,
Verified email at dkit.ie
Title
Cited by
Cited by
Year
Combining principal component analysis with an artificial neural network to perform online quality assessment of food as it cooks in a large-scale industrial oven
M O’farrell, E Lewis, C Flanagan, WB Lyons, N Jackman
Sensors and Actuators B: Chemical 107 (1), 104-112, 2005
582005
Performance characterisation of a commercial-scale wind turbine operating in an urban environment, using real data
C Cooney, R Byrne, W Lyons, F O'Rourke
Energy for Sustainable Development 36, 44-54, 2017
562017
Performance characterisation of a commercial-scale wind turbine operating in an urban environment, using real data
C Cooney, R Byrne, W Lyons, F O'Rourke
Energy for Sustainable Development 36, 44-54, 2017
562017
Comparison of k-NN and neural network methods in the classification of spectral data from an optical fibre-based sensor system used for quality control in the food industry
M O’farrell, E Lewis, C Flanagan, W Lyons, N Jackman
Sensors and Actuators B: Chemical 111, 354-362, 2005
552005
Principal component analysis and artificial neural network based approach to analysing optical fibre sensors signals
E Lewis, C Sheridan, M O’Farrell, D King, C Flanagan, WB Lyons, ...
Sensors and Actuators A: Physical 136 (1), 28-38, 2007
542007
Multi-touch interfaces in museum spaces: reporting preliminary findings on the nature of interaction
J Kidd, I Ntalla, W Lyons
Proceedings of the International Conference Re-thinking Technology in …, 2011
502011
Neural networks and pattern recognition techniques applied to optical fibre sensors
WB Lyons, E Lewis
Transactions of the Institute of Measurement and Control 22 (5), 385-404, 2000
452000
Design of a system that uses optical-fiber sensors and neural networks to control a large-scale industrial oven by monitoring the food quality online
M O'Farrell, E Lewis, C Flanagan, WB Lyons, N Jackman
IEEE sensors Journal 5 (6), 1407-1420, 2005
322005
Interpreting complex data from a three-sensor multipoint optical fibre ethanol concentration sensor system using artificial neural network pattern recognition
D King, WB Lyons, C Flanagan, E Lewis
Measurement Science and Technology 15 (8), 1560, 2004
282004
U-bend fibre optic pH sensors using layer-by-layer electrostatic self-assembly technique
F Surre, WB Lyons, T Sun, KTV Grattan, S O'Keeffe, E Lewis, C Elosua, ...
Journal of Physics: Conference Series 178 (1), 012046, 2009
272009
Proximal object and hazard detection for autonomous underwater vehicle with optical fibre sensors
DJF Toal, C Flanagan, WB Lyons, S Nolan, E Lewis
Robotics and Autonomous Systems 53 (3-4), 214-229, 2005
272005
A novel multipoint luminescent coated ultra violet fibre sensor utilising artificial neural network pattern recognition techniques
WB Lyons, C Fitzpatrick, C Flanagan, E Lewis
Sensors and Actuators A: Physical 115 (2-3), 267-272, 2004
252004
A multipoint optical fibre sensor system for use in process water systems based on artificial neural network pattern recognition techniques
D King, WB Lyons, C Flanagan, E Lewis
Sensors and Actuators A: Physical 115 (2-3), 293-302, 2004
242004
Energy management optimisation using a combined Long Short-Term Memory recurrent neural network–Particle Swarm Optimisation model
Z Cao, X Han, W Lyons, F O'Rourke
Journal of Cleaner Production 326, 129246, 2021
232021
An optical-fiber sensor for use in water systems utilizing digital signal processing techniques and artificial neural network pattern recognition
D King, WB Lyons, C Flanagan, E Lewis
IEEE Sensors Journal 4 (1), 21-27, 2004
222004
An optical fibre distributed sensor based on pattern recognition
WB Lyons, H Ewald, E Lewis
Journal of materials processing technology 127 (1), 23-30, 2002
212002
An optical fibre ethanol concentration sensor utilizing Fourier transform signal processing analysis and artificial neural network pattern recognition
D King, WB Lyons, C Flanagan, E Lewis
Journal of Optics A: Pure and Applied Optics 5 (4), S69, 2003
182003
A neural networks based approach for determining fouling of multi-point optical fibre sensors in water systems
WB Lyons, H Ewald, C Flanagan, S Lochmann, E Lewis
Measurement Science and Technology 12 (7), 958, 2001
152001
Interrogation of multipoint optical fibre sensor signals based on artificial neural network pattern recognition techniques
WB Lyons, C Flanagan, E Lewis, H Ewald, S Lochmann
Sensors and Actuators A: Physical 114 (1), 7-12, 2004
142004
A multi-point optical fibre sensor for condition monitoring in process water systems based on pattern recognition
WB Lyons, H Ewald, C Flanagan, E Lewis
Measurement 34 (4), 301-312, 2003
132003
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