Citations
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Proceedings ArticleDOI
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
Iason Hatzakis,David Wallace +1 more
TL;DR: Initial results indicate that the approach improves algorithm performance, especially in problems where the frequency of objective change is high, and creates a robust algorithm for dynamic optimization.
Estimation of Directional Wave Spectra from Measured Ship Responses
TL;DR: From generated ship responses based on a theoretically known wave spectrum, the Bayesian estimation method is shown to predict the wave spectrum with good accuracy, and at the very end of the thesis, suggestions for improving the specific method are given.
Journal ArticleDOI
An Akaike State-Space Controller for RBF-ARX Models
TL;DR: The robustness of the method is demonstrated by showing how the RBF-ARX model fitted to one data sequence from the SCR process may be used to construct a high performance controller for other sequences taken from the same process.
Journal ArticleDOI
Decomposition of Neurological Multivariate Time Series by State Space Modelling
Andreas Galka,Kin Foon Kevin Wong,T. Ozaki,Hiltrud Muhle,Ulrich Stephani,Michael Siniatchkin +5 more
TL;DR: State space modelling, a generalization of classical ARMA modelling, is well suited for exploiting the dynamical information encoded in the temporal ordering of time series data, while this information remains inaccessible to FA and most ICA algorithms.
Journal ArticleDOI
A data-driven model of the generation of human EEG based on a spatially distributed stochastic wave equation
TL;DR: A linear state space modelling approach is suggested, based on a generalisation of Kalman filtering, in combination with maximum-likelihood parameter estimation, for inferring the unobserved high-dimensional primary current density field from EEG data of much lower dimension.
References
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Journal ArticleDOI
Proficiency-based virtual reality training significantly reduces the error rate for residents during their first 10 laparoscopic cholecystectomies.
Gunnar Ahlberg,Lars Enochsson,Anthony G. Gallagher,Leif Hedman,Christian Hogman,David A. McClusky,Stig Ramel,C. Daniel Smith,Dag Arvidsson +8 more
TL;DR: In this paper, the effect of proficiency-based VR training on the outcome of the first 10 entire cholecystectomies performed by novices was evaluated. And the results showed that VR training has been shown to improve intraoperative performance during part of a laparoscopic choleccystectomy.
Proceedings ArticleDOI
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
Iason Hatzakis,David Wallace +1 more
TL;DR: Initial results indicate that the approach improves algorithm performance, especially in problems where the frequency of objective change is high, and creates a robust algorithm for dynamic optimization.
Estimation of Directional Wave Spectra from Measured Ship Responses
TL;DR: From generated ship responses based on a theoretically known wave spectrum, the Bayesian estimation method is shown to predict the wave spectrum with good accuracy, and at the very end of the thesis, suggestions for improving the specific method are given.
Journal ArticleDOI
An Akaike State-Space Controller for RBF-ARX Models
TL;DR: The robustness of the method is demonstrated by showing how the RBF-ARX model fitted to one data sequence from the SCR process may be used to construct a high performance controller for other sequences taken from the same process.
Journal ArticleDOI
Decomposition of Neurological Multivariate Time Series by State Space Modelling
Andreas Galka,Kin Foon Kevin Wong,T. Ozaki,Hiltrud Muhle,Ulrich Stephani,Michael Siniatchkin +5 more
TL;DR: State space modelling, a generalization of classical ARMA modelling, is well suited for exploiting the dynamical information encoded in the temporal ordering of time series data, while this information remains inaccessible to FA and most ICA algorithms.