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An investigation into aspects of rate-independent single crystal plasticity
Published 2015Get full text
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An empirical assessment of real-time progressive stereo reconstruction
Published 2017“…Progressive stereo reconstruction is the sequential application of stereo reconstructions to reconstruct a scene. …”
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Evolutionary deep learning
Published 2019“…The primary objective of this thesis is to investigate whether evolutionary concepts can improve the performance, speed and convenience of algorithms in various active areas of machine learning research. …”
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Using machine learning techniques in developing an autonomous network orchestration scheme in 5g networks
Published 2021“…Possible applications of the developed algorithm vary from 5G ultra slicing to network security. …”
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Distinguishing cyanobacteria from algae using bio-optical remote sensing
Published 2014Get full text
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Traditional Image Processing and Modern Computer Vision Techniques for the Study of Two-Phase CO2 Flow
Published 2023“…The outputs seen from this algorithm correlated well with those produced by established models for calculating void fraction, but the problem with this algorithm is its limited scope of use: it is only applicable to images of bubbly flow, a flow regime which exists for only a small portion of the total possible vapour quality range under steady state conditions. …”
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Perceptual refinement for hierarchical radiosity
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A design of variable transmission power control for wireless ad-hoc network
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Investigating Hamiltonian dynamics by the method of covariant Lyapunov vectors
Published 2025“…The tangent dynamics of the centre subspace of the H´enon-Heiles system is investigated numerically through the use of CLVs, and we propose a method that improves the accuracy of the centre subspace computed with the G&C algorithm. As another application of the method of CLVs to the H´enon-Heiles system, we find that the splitting subspaces (which form a splitting of the tangent space and define the CLVs) become almost tangent during sticky regimes of motion, an observation which is related to the hyperbolicity of the system. …”
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Applying the cross-entropy method in multi-objective optimisation of dynamic stochastic systems
Published 2012Get full text
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Time series forecasting using dynamic particle swarm optimizer trained neural networks
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ROACH accelerated BLAST
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Jet study in ultra-relativistic heavy-ion collisions with the ALICE detectors at the LHC
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D-Tree : examining the efficiency of a community case management mobile medical diagnostic tool
Published 2016“…To achieve this overarching goal D-Tree firstly, develops and validates clinical algorithms for use by health workers, secondly they design software for delivering these algorithms on mobile phones, and thirdly enable the effective use of these algorithms on a scalable basis. …”
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Applying the Herman-Beta probabilistic method to MV feeders
Published 2017Get full text
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