School of Engineering, Computing and Mathematics
Recent Submissions
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Bayesian Multivariate Nonlinear State Space Copula Models
In this paper we propose a flexible class of multivariate nonlinear non-Gaussian state space models, based on copulas. More precisely, we assume that the observation equation and the state equation are defined by copula ... -
A Pólya-Gamma Sampler for a Generalized Logistic Regression
In this paper we introduce a novel Bayesian data augmentation approach for estimating the parameters of the generalised logistic regression model. We propose a P\'olya-Gamma sampler algorithm that allows us to sample from ... -
Composites Curriculum Development: tackling the skills gap in UK advanced composites
(University of Bristol with University of PlymouthBristol and Plymouth, United Kingdom, 2019-08-31)The aim of this project is to generate an industrially relevant and academically rigorous curriculum which could be deployed to tackle the significant skills gap in composites professionals, vital for delivering on the ... -
Probing the early phase of rapid instructed rule encoding
(Elsevier BV, 2019-09-09) -
Genetic algorithm-based multiple moving target reaching using a fleet of sailboats
(Institution of Engineering and Technology (IET), 2019-11-11) -
Ocean Energy Systems Wave Energy Modelling Task: Modelling, Verification and Validation of Wave Energy Converters
(MDPI AG, 2019-10-25)<jats:p>The International Energy Agency Technology Collaboration Programme for Ocean Energy Systems (OES) initiated the OES Wave Energy Conversion Modelling Task, which focused on the verification and validation of numerical ... -
Teaching robots social autonomy from in situ human guidance
(American Association for the Advancement of Science (AAAS), 2019-10-23)<jats:p>Striking the right balance between robot autonomy and human control is a core challenge in social robotics, in both technical and ethical terms. On the one hand, extended robot autonomy offers the potential for ... -
User profiling based on application-level using network metadata
(2019-06-01)© 2019 IEEE. There is an increasing interest to identify users and behaviour profiling from network traffic metadata for traffic engineering and security monitoring. Network security administrators and internet service ...
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