J. Pieter de Villiers
J. Pieter de Villiers
Associate Professor, University of Pretoria, Pretoria, South Africa
Zweryfikowany adres z up.ac.za
Tytuł
Cytowane przez
Cytowane przez
Rok
Statistical gear health analysis which is robust to fluctuating loads and operating speeds
T Heyns, SJ Godsill, JP De Villiers, PS Heyns
Mechanical Systems and Signal Processing 27, 651-666, 2012
582012
Systemic banking crisis early warning systems using dynamic Bayesian networks
JJ Dabrowski, C Beyers, JP de Villiers
Expert systems with applications 62, 225-242, 2016
502016
Combining synchronous averaging with a Gaussian mixture model novelty detection scheme for vibration-based condition monitoring of a gearbox
T Heyns, PS Heyns, JP De Villiers
Mechanical Systems and Signal Processing 32, 200-215, 2012
462012
Gaussian process modeling of CPW-FED slot antennas
JP De Villiers, JP Jacobs
Progress In Electromagnetics Research 98, 233-249, 2009
462009
Maritime piracy situation modelling with dynamic Bayesian networks
JJ Dabrowski, JP de Villiers
Information Fusion 23, 116–130, 2015
452015
Micro-Doppler radar classification of humans and animals in an operational environment
WD Van Eeden, JP De Villiers, RJ Berndt, WAJ Nel, E Blasch
Expert Systems with Applications 102, 1-11, 2018
402018
A tacholess order tracking methodology based on a probabilistic approach to incorporate angular acceleration information into the maxima tracking process
S Schmidt, PS Heyns, JP De Villiers
Mechanical Systems and Signal Processing 100, 630-646, 2018
382018
Gaussian-process-regression-based design of ultrawide-band and dual-band CPW-fed slot antennas
JP Jacobs, JP De Villiers
Journal of Electromagnetic Waves and Applications 24 (13), 1763-1772, 2010
322010
Uncertainty representation, quantification and evaluation for data and information fusion
JP de Villiers, K Laskey, AL Jousselme, E Blasch, A de Waal, G Pavlin, ...
2015 18th International Conference on Information Fusion (Fusion), 50-57, 2015
302015
A novelty detection diagnostic methodology for gearboxes operating under fluctuating operating conditions using probabilistic techniques
S Schmidt, PS Heyns, JP De Villiers
Mechanical Systems and Signal Processing 100, 152-166, 2018
242018
A framework for inferring predictive distributions of rhino poaching events through causal modelling
H Koen, JP de Villiers, G Pavlin, A de Waal, P de Oude, F Mignet
17th International Conference on Information Fusion (FUSION), 1-7, 2014
242014
Evaluation metrics for the practical application of URREF ontology: an illustration on data criteria
JP de Villiers, RW Focke, G Pavlin, AL Jousselme, V Dragos, KB Laskey, ...
2017 20th International Conference on Information Fusion (Fusion), 1-8, 2017
212017
An expert-driven causal model of the rhino poaching problem
H Koen, JP De Villiers, H Roodt, A De Waal
Ecological Modelling 347, 29-39, 2017
212017
Nonlinear dynamic systems modeling using Gaussian processes: Predicting ionospheric total electron content over South Africa
ER Ackermann, JP De Villiers, PJ Cilliers
Journal of Geophysical Research: Space Physics 116 (A10), 2011
212011
Particle predictive control
JP De Villiers, SJ Godsill, SS Singh
Journal of statistical planning and inference 141 (5), 1753-1763, 2011
192011
Uncertainty evaluation of data and information fusion within the context of the decision loop
JP de Villiers, AL Jousselme, A de Waal, G Pavlin, K Laskey, E Blasch, ...
2016 19th International Conference on Information Fusion (FUSION), 766-773, 2016
182016
A URREF interpretation of Bayesian network information fusion
JP de Villiers, G Pavlin, P Costa, K Laskey, AL Jousselme
17th International Conference on Information Fusion (FUSION), 1-8, 2014
182014
A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation
T Heyns, PS Heyns, JP De Villiers
Journal of Terramechanics 49 (2), 103-113, 2012
182012
A unified model for context-based behavioural modelling and classification
JJ Dabrowski, JP De Villiers
Expert Systems with Applications 42 (19), 6738-6757, 2015
142015
Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes
T Heyns, JP De Villiers, PS Heyns
Engineering Applications of Artificial Intelligence 25 (8), 1752-1760, 2012
142012
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