Search Results - "Fieldsend, J E"

Data-driven plasma modelling: surrogate collisional radiative models of fluorocarbon plasmas from deep generative autoencoders by Daly, G A, Fieldsend, J E, Hassall, G, Tabor, G R

“…Abstract We have developed a deep generative model that can produce accurate optical emission spectra and colour images of an ICP plasma using only the applied…”
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Application of multi-objective Bayesian shape optimisation to a sharp-heeled Kaplan draft tube by Daniels, S. J., Rahat, A. A. M., Tabor, G. R., Fieldsend, J. E., Everson, R. M.

“…The draft tube of a hydraulic turbine plays an important role for the efficiency and power characteristics of the overall system. The shape of the draft tube…”
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Automated shape optimisation of a plane asymmetric diffuser using combined Computational Fluid Dynamic simulations and multi-objective Bayesian methodology by Daniels, S. J., Rahat, A. A. M., Tabor, G. R., Fieldsend, J. E., Everson, R. M.

“…An approach for shape optimisation of the flow through a diffuser is presented in this work. This multi-objective problem focuses on maximising the diffuser…”
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Dominance-Based Multiobjective Simulated Annealing by Smith, K.I., Everson, R.M., Fieldsend, J.E., Murphy, C., Misra, R.

“…Simulated annealing is a provably convergent optimizer for single-objective problems. Previously proposed multiobjective extensions have mostly taken the form…”
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Multi-objective optimisation of viscoelastic damping inserts in honeycomb sandwich structures by Aumjaud, P., Fieldsend, J.E., Boucher, M.-A., Evans, K.E., Smith, C.W.

“…The Double-Shear Lap Joint (DSLJ) is a novel damping insert sited internally within a structure which is particularly well suited for lightweight sandwich…”
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Using unconstrained elite archives for multiobjective optimization by Fieldsend, J.E., Everson, R.M., Singh, S.

“…Multiobjective evolutionary algorithms (MOEAs) have been the subject of numerous studies over the past 20 years. Recent work has highlighted the use of an…”
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Pareto evolutionary neural networks by Fieldsend, J.E., Singh, S.

“…For the purposes of forecasting (or classification) tasks neural networks (NNs) are typically trained with respect to Euclidean distance minimization. This is…”
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Multiobjective optimization of safety related systems: an application to short-term conflict alert by Everson, R.M., Fieldsend, J.E.

“…Many safety related and critical systems warn of potentially dangerous events; for example, the short term conflict alert (STCA) system warns of airspace…”
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P2439Reconstructing electrocardiograms from computational models of infarcted ventricles to determine the location of myocardial infarct scars based on features of the signal by Hill, Y R, Fieldsend, J E, Terry, J R

“…Abstract Myocardial infarction can cause ventricular tachycardia as a result of reentrant electrical activation waves propagating around the infarct scar. The…”
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Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization by Walker, D. J., Everson, R. M., Fieldsend, J. E.

“…As many-objective optimization algorithms mature, the problem owner is faced with visualizing and understanding a set of mutually nondominating solutions in a…”
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Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics by Daniels, S.J., Rahat, A.A.M., Tabor, G.R., Fieldsend, J.E., Everson, R.M.

“…A methodology to assess the performance of an elbow-type draft tube is outlined. This was achieved using Computational Fluid Dynamics (CFD) to evaluate the…”
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A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport by Watson, P. J., Fieldsend, J. E., Stiles, V.H.

“…To aid the implementation of athlete surveillance systems relative to logistical circumstances, easy-to-access information that summarises the extent to which…”
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Visualisation and ordering of many-objective populations by Walker, D J, Everson, R M, Fieldsend, J E

“…We introduce novel methods of visualising and ordering multi-and many-objective populations. We compare individuals by the probability that one will beat…”
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Notes on shape orientation where the standard method does not work by Žunić, Joviša, Kopanja, Lazar, Fieldsend, Jonathan E.

“…In this paper we consider some questions related to the orientation of shapes with particular attention to the situation where the standard method does not…”
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Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert by Reckhouse, W J, Fieldsend, J E, Everson, R M

“…Short Term Conflict Alert (STCA) systems provide warnings to air traffic controllers if aircraft are in danger of becoming too close. They are complex software…”
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Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications by Schetinin, V., Fieldsend, J.E., Partridge, D., Coats, T.J., Krzanowski, W.J., Everson, R.M., Bailey, T.C., Hernandez, A.

“…Bayesian averaging (BA) over ensembles of decision models allows evaluation of the uncertainty of decisions that is of crucial importance for safety-critical…”
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Multi-objective optimisation in the presence of uncertainty by Fieldsend, J.E., Everson, R.M.

“…There has been only limited discussion on the effect of uncertainty and noise in multi-objective optimization problems and how to deal with it. We address this…”
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Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles by Schetinin, V, Partridge, D, Krzanowski, W. J, Everson, R. M, Fieldsend, J. E, Bailey, T. C, Hernandez, A

“…In this paper we experimentally compare the classification uncertainty of the randomised Decision Tree (DT) ensemble technique and the Bayesian DT technique…”
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The Bayesian Decision Tree Technique with a Sweeping Strategy by Schetinin, V, Fieldsend, J. E, Partridge, D, Krzanowski, W. J, Everson, R. M, Bailey, T. C, Hernandez, A

“…The uncertainty of classification outcomes is of crucial importance for many safety critical applications including, for example, medical diagnostics. In such…”
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Dominance measures for multi-objective simulated annealing by Smith, K.I., Everson, R.M., Fieldsend, J.E.

“…Simulated annealing (SA) is a provably convergent optimiser for single-objective (SO) problems. Previously proposed MO extensions have mostly taken the form of…”
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