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Richard John Cant
Richard John Cant
Senior Lecturer in Computing and Informatics
Verified email at ntu.ac.uk
Title
Cited by
Cited by
Year
Creating AI characters for fighting games using genetic programming
G Martinez-Arellano, R Cant, D Woods
IEEE transactions on computational intelligence and Ai in games 9 (4), 423-434, 2016
342016
Texture potential mip mapping, a new high-quality texture antialiasing algorithm
RJ Cant
ACM Transactions on Graphics 19 (3), 164-184, 2000
272000
Using hard and soft artificial intelligence algorithms to simulate human go playing techniques
R Cant, J Churchill, D Al-Dabass
International Journal of Simulation 2 (1), 31-49, 2001
202001
CP N− 1 models beyond the leading order
RJ Cant, AC Davis
Zeitschrift für Physik C Particles and Fields 5 (4), 299-308, 1980
191980
A multiscale method for automated inpainting
RJ Cant
17th European Simulation Multiconference 2003, Nottingham Trent University, 2003
182003
Prediction of jet engine parameters for control design using genetic programming
GM Arellano, R Cant, L Nolle
2014 UKSim-AMSS 16th International Conference on Computer Modelling and …, 2014
122014
Methods for automated object placement in virtual scenes
RJ Cant, CS Langensiepen
2009 11th International Conference on Computer Modelling and Simulation, 431-436, 2009
122009
The summability of the 1/N expansion in a simplified O (N) model
RJ Cant, RJ Rivers
Journal of Physics A: Mathematical and General 13 (5), 1623, 1999
111999
Parallel Simulation of Large-Scale Water Distribution Systems
JK Hartley, A Bargiela, RJ Cant
Proc. ESM’95, 723-727, 1995
111995
Characterisation of large changes in wind power for the day-ahead market using a fuzzy logic approach
G Martínez-Arellano, L Nolle, R Cant, A Lotfi, C Windmill
KI-Künstliche Intelligenz 28, 239-253, 2014
102014
The effective potential, vacuum tunneling and the 1/N expansion
RJ Cant
Nuclear Physics B 157 (1), 108-124, 1979
101979
Applying gamification principles to a container loading system in a warehouse environment
A Remi-Omosowon, R Cant, C Langensiepen
2016 UKSim-AMSS 18th International Conference on Computer Modelling and …, 2016
92016
A New Computational Approach to the Game of Go.
J Churchill, RJ Cant, D Al-Dabass
GAME-ON, 81-, 2001
92001
CPN− 1 model: A toy model for QCD?
RJ Cant, AC Davis
Physics Letters B 87 (3), 215-218, 1979
91979
Texture potential mapping: A way to provide antialiased texture without blurring
R Cant, P Shrubsole
Visualization and Modelling 223, 240, 1997
71997
A hybrid artificial intelligence approach with application to games
R Cant, J Churchill, D Al-Dabass
Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002
62002
New anti-aliasing an depth of field techniques for games
R Cant, N Chia, D Al-Dabass
The second International Conference on Intelligent Games and Simulation, 117-122, 2001
62001
Creating depth of field effects without multiple samples
R Cant, C Langensieoen
2012 UKSim 14th International Conference on Computer Modelling and …, 2012
52012
Efficient anti-aliased bump mapping
RJ Cant, CS Langensiepen
Computers & Graphics 30 (4), 561-580, 2006
52006
A framework for the evaluation of volume rendering techniques on a task specific basis using neural networks
SA Braines, RJ Cant
Computers & Graphics 25 (4), 643-663, 2001
52001
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